Relevant bibliographies by topics / Failure knowledge

Academic literature on the topic 'Failure knowledge'

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Published: 6 September 2023

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Journal articles on the topic "Failure knowledge"

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James, Ajith Tom, O. P. Gandhi, and S. G. Deshmukh. "Knowledge management of automobile system failures through development of failure knowledge ontology from maintenance experience." Journal of Advances in Management Research 14, no. 4 (October 2, 2017): 425–45. http://dx.doi.org/10.1108/jamr-02-2017-0024.

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Purpose The purpose of this paper is to develop an ontological model of failure knowledge of automobile systems that will enhance the knowledge management of automobile system failures, which will help for design and maintenance of automobiles. Failure knowledge of automobile systems and components gained through maintenance and repair can mitigate future failures, if integrated in the design. This is an outcome of this paper. Design/methodology/approach A failure coding scheme is developed for assimilating various entities of automobile failure knowledge and an ontological model is developed for its systematic structuring and representation. The developed failure code is a combination of alphanumeric and numeric code that incorporates ingredients of the failure knowledge, which will help database management, with reduced data entry time and storage space. Findings The maintenance of automobiles not only brings back the systems into operating conditions but also convey a lot of information regarding the failures. This is a useful input to the designers in development of reliable and maintainable automobile systems. A knowledge base can be created for automobile systems/components failures from their maintenance and service experience. Research limitations/implications Developed ontological model of automobile failure knowledge gained through maintenance experience can be shared across automobile manufacturers and service providers. This would help in design improvements, with ease and efficient undertaking of maintenance activities. This paper proposes the conceptual ontology structure, which is populated with three cases of automobile maintenance. Originality/value This research work is a first attempt to develop an ontological model for automobile failures from their maintenance and service experience. The novelty of the work is in its explicit consideration of all knowledge related to failures and maintenance of automobile systems, with their coding and structuring.
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NAKAO, Masayuki. "To Use Failure Knowledge." Journal of the Society of Mechanical Engineers 106, no. 1010 (2003): 52–56. http://dx.doi.org/10.1299/jsmemag.106.1010_52.

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NAKAO, Masayuki. "Reuse of Failure Knowledge." Journal of the Society of Mechanical Engineers 107, no. 1025 (2004): 286–89. http://dx.doi.org/10.1299/jsmemag.107.1025_286.

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Burch, Druin. "Heart Failure: Gaps in Knowledge and Failures in Treatment." PLoS Medicine 11, no. 8 (August 12, 2014): e1001702. http://dx.doi.org/10.1371/journal.pmed.1001702.

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Chhetri, Tek Raj, Anelia Kurteva, Jubril Gbolahan Adigun, and Anna Fensel. "Knowledge Graph Based Hard Drive Failure Prediction." Sensors 22, no. 3 (January 27, 2022): 985. http://dx.doi.org/10.3390/s22030985.

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The hard drive is one of the important components of a computing system, and its failure can lead to both system failure and data loss. Therefore, the reliability of a hard drive is very important. Realising this importance, a number of studies have been conducted and many are still ongoing to improve hard drive failure prediction. Most of those studies rely solely on machine learning, and a few others on semantic technology. The studies based on machine learning, despite promising results, lack context-awareness such as how failures are related or what other factors, such as humidity, influence the failure of hard drives. Semantic technology, on the other hand, by means of ontologies and knowledge graphs (KGs), is able to provide the context-awareness that machine learning-based studies lack. However, the studies based on semantic technology lack the advantages of machine learning, such as the ability to learn a pattern and make predictions based on learned patterns. Therefore, in this paper, leveraging the benefits of both machine learning (ML) and semantic technology, we present our study, knowledge graph-based hard drive failure prediction. The experimental results demonstrate that our proposed method achieves higher accuracy in comparison to the current state of the art.
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Brahmbhatt, Darshan H., and Jeremy Kobulnik. "Knowledge Translation in Heart Failure." Canadian Journal of General Internal Medicine 15, SP1 (April 6, 2020): 27–35. http://dx.doi.org/10.22374/cjgim.v15isp1.421.

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The treatment of heart failure has expanded over the past three decades with large numbers of new medications and healthcare innovations available for these patients. At the same time, the prevalence of heart failure continues to increase across Canada and these patients are managed by a variety of clinicians from differing backgrounds in both primary care and hospital settings. Despite national recommendations advocating uptake of these new therapies, their utilization remains limited and inconsistent across the country. This review discusses the importance of knowledge translation in heart failure and examines the barriers to implementation of new therapies and models of care, providing a range of solutions to facilitate the delivery of guideline-directed care for heart failure patients.
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May, Peter J. "Policy Learning and Failure." Journal of Public Policy 12, no. 4 (October 1992): 331–54. http://dx.doi.org/10.1017/s0143814x00005602.

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ABSTRACTMultiple knowledges are available for utilisation in policy choice. The rank ordering of knowledges for use in decisionmaking is thus a fundamental predecision. This article shows how this predecision necessarily constrains the processes associated with a politics of ideas, using cases from American international commodity policy. Even when the supposed preconditions of this sort of politics are present, policy change did not occur when the proposed ideas arose from a knowledge accorded secondary status in policymaking circles. Several implications are discussed for the influence and the study of ideational politics. Ultimately, the politics of ideas, so often portrayed through cases of innovation, may be quite conservative, contained by knowledge hierarchies which reflect prior politicaxl circumstances.
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Meguro, Junichi, Eijiro Takeuchi, and Taro Suzuki. "Knowledge of GNSS Failure for Robotics." Journal of the Robotics Society of Japan 37, no. 7 (2019): 585–92. http://dx.doi.org/10.7210/jrsj.37.585.

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Roussel, Maureen G. "Improving Nurses’ Knowledge of Heart Failure." Journal for Nurses in Professional Development 31, no. 4 (2015): 211–17. http://dx.doi.org/10.1097/nnd.0000000000000164.

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IINO, Kenji. "Managing Failure Knowledge with the Computer." Journal of the Society of Mechanical Engineers 106, no. 1016 (2003): 537–40. http://dx.doi.org/10.1299/jsmemag.106.1016_537.

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Dissertations / Theses on the topic "Failure knowledge"

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Masters, R. S. W. "Implicit knowledge, stress and skill failure." Thesis, University of York, 1992. http://etheses.whiterose.ac.uk/2501/.

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Fairow, Deborah J. "Disordered eating, stress, failure, and nutrition knowledge among college women /." View online, 1989. http://repository.eiu.edu/theses/docs/32211998880255.pdf.

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Hermansson, Frida, and Ulrika Kilnes. "Knowledge transfer from expatriates : A study of MNCs’ exploitation of expatriates’ knowledge." Thesis, Uppsala University, Department of Business Studies, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9431.

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This paper investigates how expatriates experience that their knowledge gained from international assignments is transferred and exploited by the MNC. The results from 93 expatriates from eleven Large Cap companies suggest that knowledge is not exploited trough formal mechanisms. Instead informal mechanisms of knowledge transfer such as networks and own initiatives seem to be a more common way of transferring and exploiting knowledge in the investigated MNCs. The findings indicate that the knowledge that the expatriates that failed their mission abroad gained is not exploited to the same extent as the expatriates that successfully completed their assignments.

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Andrews, Michael McMillan. "Knowledge-based debugging : matching program behaviour against known causes of failure." Thesis, University of Kent, 2003. https://kar.kent.ac.uk/14017/.

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Moore-Jervis, Sharnee. "Improving Nursing Knowledge of African American Heart Failure Self-Care Management." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7703.

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Heart failure is a complex chronic disease affecting 6.6 million people in the United States, with an annual cost of $39.2 billion per year. African Americans are at an especially high risk for poor outcomes and readmissions from heart failure complications, as they are 2.5 times more likely to develop heart failure than other ethnic groups. This disease requires a high level of patient self-care management, and evidence suggests that African Americans do not always receive culturally sensitive education, which can lead to suboptimal self-care practices. The practice-focused question for this educational program asked whether nurses of African American patients with heart failure could use a culturally sensitive health education toolkit to improve patients’ knowledge of self-care management. The purpose of this doctoral project was to determine if a culturally sensitive toolkit could increase nursing knowledge. The population focus was nurses caring for African American heart failure patients with frequent readmissions from a high-risk heart failure clinic in New Jersey. The use of Hofstede’s cultural dimensions and an exhaustive literature review guided this doctoral project. The tool used to assess participants’ pre- and post-knowledge was the cultural awareness and sensitivity tool. There were 11 participants comprised of nurses, nurse case managers, and advanced practice nurses; they exhibited a 1.92% improvement in knowledge after the education session. This outcome shows that this educational program was effective and has the potential to contribute to social change by educating nurses on providing effective, culturally sensitive self-care education to African American heart failure patients to increase their adherence to self-care practices.
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Knopp, Anna Marie. "Nurses' knowledge of heart failure education guidelines in a Western Montana hospital." Thesis, Montana State University, 2009. http://etd.lib.montana.edu/etd/2009/knopp/KnoppA0509.pdf.

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Angelo, Raymond Fontana. "Collaborative Group Learning and Knowledge Building to Address Information Systems Project Failure." NSUWorks, 2011. http://nsuworks.nova.edu/gscis_etd/79.

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Approximately half of the information systems (IS) projects implemented each year are considered failures. These failed projects cost billions of dollars annually. Failures can be due to projects being delivered late, over-budget, abandoned after significant time and resource investment, or failing to achieve desired results. More often than not, the failure of a project is not due to technical issues, but due to social and business-related problems. These issues can include a communication breakdown and lack of participation by project stakeholders; lack of a business case and success criteria for a project; failure to review project status, delays and revisions; and unrealistic schedules. While educators cannot address the issue of project failure in information systems directly, they can target the need to build collaboration skills and sensitivity to project business and social issues in students. The building of these skills and sensitivities can lead to more effective project team members and managers. Conversely, there is little evidence that higher education prepares students to be collaborators. One goal of this research was to determine to what extent students demonstrated group knowledge construction through online discussion of project issues presented in a real-world business scenarios. The Interaction Analysis Model for Examining Social Construction of Knowledge in Computer Conferencing (IAM) was chosen to measure group knowledge construction through discussions in a series of project problem scenarios. A second goal was to determine to what extent the knowledge construction through group discussion increases students' perceived level of awareness of information systems projects' social and business issues. Both goals of this research were realized to some extent. This study demonstrated that by the use of scenarios to expose students to typical social and business causes of failure in information systems projects, awareness of these issues could be enhanced between the pre-test and post-test groups. This study also demonstrated that through participation in discussion groups, individuals can demonstrate significant growth in collaboration skills. Further research should examine a population that has more balance with regard to gender of the participants, and should consider the influence of "guided reflection" provided by instructors.
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Tam, Karen, and Karen Tam. "Examining Productive Failure Instruction in Dental Ethics." Diss., The University of Arizona, 2017. http://hdl.handle.net/10150/624532.

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These three papers examine "productive failure" as a viable learning design to improve problem solving skills using open-ended problems. Productive failure, a teaching method, is based on the premise of unsuccessful learning performance in solving for complex problems with little to no support while yielding productive learning for subsequent problems. Kapur (2008) argues that hidden efficacies of learning exist in failure in which learners potentially learn through experimentation from their exploration and struggle in solving complex problems in a way that learners must first try and solve complex, novel problems on their own, but ultimately will fail to reach a solution. We have limited understanding if this type of design would be effective on complex problems with multiple solutions since previous studies on productive failure focused on problems with a canonical solution. In the three papers, I examine the extent to which students learn how to solve moral dilemmas in productive failure (PF) compared to lecture and practice (LP) and to what extent instruction in PF helps students learn skills in transferable problem solving. One paper describes a pilot study that was conducted with 21 second-year dental hygiene students. In the randomized-controlled study, analysis did not show significant differences on moral reasoning (p = .06) and transfer of knowledge (p = .58) between PF and LP instructional method. However, the effect size on students' posttest scores was high (d = .76) which as a result of the educational intervention, suggests that PF students demonstrated acquisition of new thinking and approached the complex problem in a more sophisticated moral way of thinking. To replicate these findings, the results from the pilot study were used to make adjustments in instructional and research design for a full-scale study. The second study on 77 second-year dental hygiene students from four dental hygiene programs further shows that PF students gained a deeper conceptual understanding and were better prepared for subsequent problems. PF students, I found, demonstrated greater shifts from simplistic thinking to post conventional thinking compared to LP students. Although PF students performed similarly when compared to LP students on their posttest scores in the moral responses, LP students scored lower than their pretest problem and the difference between pretest and posttest scores in LP School had a moderate effect in a negative direction (d= -.64). Findings in both studies suggest that productive failure design has the potential to help students reach a deeper conceptual understanding when they 1) analyze their own failure; 2) use the learned concept to build upon their own prior knowledge; and 3) repair existing mental models to successfully solve complex problems. As such, continued exploration of various instructional approaches like productive failure is still needed as alternatives to lecture and practice for developing problem solving skills.
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Al-Karaghouli, Wafi Yousif Ramadaan. "Information systems failure : a business-led knowledge requirements framework for modelling business requirements." Thesis, Brunel University, 2005. http://bura.brunel.ac.uk/handle/2438/6302.

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Our work will be mainly concerned with improving the crucial first stage (the requirements stage) of any system development methodology in order to improve requirements. A framework has been developed, called "knowledge requirements framework (KRF)" to help customers and system developers bridge the knowledge and understanding gaps at the initial requirements stage of the Information Technology System (ITS) development process. Unclear business requirements, mismatch of knowledge and understanding are among the major factors that contributes to some ITS failures worldwide. The aim is to capture functional requirements at the initial stage of the system development process and to integrate systems and people use them in the development process. Multi-surveys are conducted, capture and highlight the criteria of initial requirements exactness and executability. Knowledge and understanding gaps, which occur in the development process, are described. These gaps constitute the problem at the invisible architecture in the initial requirements stage, as they expose mismatch of both knowledge and understanding problems (Requirements/Specifications). A notation to describe this framework is elaborated, novel techniques and tools for the construction and application of customer requirements in systems development are developed and used in KRF to facilitate bridging these gaps. The resulting prototype KRF is developed and used against some example problems in retail organisations, and so shown to be sufficient in principle of handling all the negotiation problems at the initial requirements stage, singly and in combination. Also, it is shown how KRF sub-process can be combined and used to elicit information and knowledge mining between both the customer and the system developer using human communication and interaction capture as an example. Systems these days are living systems, changeable, in business and the human factor in developing them cannot be excluded. It is further shown how these techniques and tools can be augmented with established methodologies rather than inventing new ones and to enable management to react as quickly as possible to global changing market conditions. This proposed framework is also evaluated and tested against the original criteria of initial requirements, exactness and executability.
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ARAUJO, THIAGO PINHEIRO DE. "USING RUNTIME INFORMATION AND MAINTENANCE KNOWLEDGE TO ASSIST FAILURE DIAGNOSIS, DETECTION AND RECOVERY." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28702@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Mesmo sistemas de software desenvolvidos com um controle de qualidade rigoroso podem apresentar falhas durante seu ciclo de vida. Quando uma falha é observada no ambiente de produção, mantenedores são responsáveis por produzir o diagnóstico e remover o seu defeito correspondente. No entanto, em um serviço crítico este tempo pode ser muito longo, logo, se for possível, a assinatura da falha deve ser utilizada para gerar um mecanismo de recuperação automático capaz de detectar e tratar futuras ocorrências similares, até que o defeito possa ser removido. Nesta tese, a atividade de recuperação consiste em restaurar o sistema para um estado correto, que permita continuar a execução com segurança, ainda que com limitações em suas funcionalidades. Para serem eficazes, as tarefas de diagnóstico e recuperação requerem informações detalhadas sobre a execução que falhou. Falhas que ocorrem durante a fase de testes em um ambiente controlado podem ser depuradas através da inserção de nova instrumentação e re-execução da rotina que contem o defeito, tornando mais fácil o estudo de comportamentos inesperados. No entanto, falhas que ocorrem no ambiente de produção apresentam informações limitadas à situação específica em que ocorrem, além de serem imprevisíveis. Para mitigar essa adversidade, informações devem ser coletadas sistematicamente com o intuito de detectar, diagnosticar para recuperar e, eventualmente, diagnosticar para remover a circunstância geradora da falha. Além disso, há um balanceamento entre a informação inserida como instrumentação e a performance do sistema: técnicas de logging geralmente apresentam baixo impacto no desempenho, porém não provêm informação suficiente sobre a execução; por outro lado, as técnicas de tracing podem registrar informações precisas e detalhadas, todavia são impraticáveis para um ambiente de produção. Esta tese propõe uma abordagem hibrida para gravação e extração de informações durante a execução do sistema. A solução proposta se baseia no registro de eventos, onde estes são enriquecidos com propriedades contextuais sobre o estado atual da execução no momento em que o evento é gravado. Através deste registro de eventos com informações de contexto, uma técnica de diagnóstico e uma ferramenta foram desenvolvidas para permitir que eventos pudessem ser filtrados com base na perspectiva de interesse do mantenedor. Além disso, também foi desenvolvida uma abordagem que utiliza estes eventos enriquecidos para detectar falhas automaticamente visando recuperação. As soluções propostas foram avaliadas através de medições e estudos conduzidos em sistemas implantados, baseando-se nas falhas que de fato ocorreram enquanto se utilizava o software em um contexto de produção.
Even software systems developed with strict quality control may expect failures during their lifetime. When a failure is observed in a production environment the maintainer is responsible for diagnosing the cause and eventually removing it. However, considering a critical service this might demand too long a time to complete, hence, if possible, the failure signature should be identified in order to generate a recovery mechanism to automatically detect and handle future occurrences until a proper correction can be made. In this thesis, recovery consists of restoring a correct context allowing dependable execution, even if the causing fault is still unknown. To be effective, the tasks of diagnosing and recovery implementation require detailed information about the failed execution. Failures that occur during the test phase run in a controlled environment, allow adding specific code instrumentation and usually can be replicated, making it easier to study the unexpected behavior. However, failures that occur in the production environment are limited to the information present in the first occurrence of the failure. But run time failures are obviously unexpected, hence run time data must be gathered systematically to allow detecting, diagnosing with the purpose of recovering, and eventually diagnosing with the purpose of removing the causing fault. Thus there is a balance between the detail of information inserted as instrumentation and the system performance: standard logging techniques usually present low impact on performance, but carry insufficient information about the execution; while tracing techniques can record precise and detailed information, however are impracticable for a production environment. This thesis proposes a novel hybrid approach for recording and extracting system s runtime information. The solution is based on event logs, where events are enriched with contextual properties about the current state of the execution at the moment the event is recorded. Using these enriched log events a diagnosis technique and a tool have been developed to allow event filtering based on the maintainer s perspective of interest. Furthermore, an approach using these enriched events has been developed that allows detecting and diagnosing failures aiming at recovery. The proposed solutions were evaluated through measurements and studies conducted using deployed systems, based on failures that actually occurred while using the software in a production context.
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Books on the topic "Failure knowledge"

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Hay, Chris. Knowledge, Creativity and Failure. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41066-1.

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Huang, Chien Yu. A methodology for knowledge-based restructurable control to accommodate system failures. [Princeton, N. J.]: Princeton University, 1989.

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Etzioni-Halevy, Eva. The knowledge elite and the failure of prophecy. London: Allen & Unwin, 1985.

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The knowledge elite and the failure of prophecy. London: G. Allen & Unwin, 1985.

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Halberstam, Judith. The queer art of failure. Durham: Duke University Press, 2011.

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Riles, Annelise. Real time: Governing the market after the failure of knowledge. [Chicago, Ill.]: American Bar Foundation, 2000.

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Fortune, Joyce. Information systems: Achieving success by avoiding failure. Chichester, West Sussex, England: John Wiley, 2005.

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Marks, Jenna. The Impact of a Brief Design Thinking Intervention on Students’ Design Knowledge, Iterative Dispositions, and Attitudes Towards Failure. [New York, N.Y.?]: [publisher not identified], 2017.

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Maedza, Lesogo. Do staffing and recruitment policies add to expatriates failure which denies organisations knowledge sharing & organisational learning?: A case study of BP Botswana. Oxford: Oxford Brookes University, 2004.

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Response to failure: Poetry of Gerard Manley Hopkins, Francis Thompson, Lionel Johnson, and Dylan Thomas. New York: P. Lang, 1998.

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Book chapters on the topic "Failure knowledge"

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Serrat, Olivier. "Embracing Failure." In Knowledge Solutions, 917–23. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-0983-9_104.

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Sturges, Keith M. "Representing Failure." In Constructing Knowledge, 137–57. Rotterdam: SensePublishers, 2013. http://dx.doi.org/10.1007/978-94-6209-197-9_8.

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Hay, Chris. "Knowledge and Knowers." In Knowledge, Creativity and Failure, 17–46. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41066-1_2.

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Bahra, Nicholas. "How to Avoid Failure." In Competitive Knowledge Management, 139–50. London: Palgrave Macmillan UK, 2001. http://dx.doi.org/10.1057/9780230554610_10.

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Hay, Chris. "Introduction." In Knowledge, Creativity and Failure, 1–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41066-1_1.

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Hay, Chris. "Code Clashes and Shifts." In Knowledge, Creativity and Failure, 47–74. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41066-1_3.

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Hay, Chris. "Falling Short." In Knowledge, Creativity and Failure, 75–101. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41066-1_4.

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Hay, Chris. "Conclusion." In Knowledge, Creativity and Failure, 103–16. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41066-1_5.

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Huerta, Adrian H., and Cecilia Rios-Aguilar. "Exploring the Relevance and Use of Funds of Gang Knowledge among System-Impacted Latino Boys and Young Men." In System Failure, 118–40. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003262077-6.

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Carnevale, David G., and Camilla Stivers. "The Failure of Management Reforms." In Knowledge and Power in Public Bureaucracies, 11–33. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429266485-2.

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Conference papers on the topic "Failure knowledge"

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Vucinic, Bojan. "Failure Knowledge Graphs." In SNAME 8th International Symposium on Ship Operations, Management and Economics. SNAME, 2023. http://dx.doi.org/10.5957/some-2023-011.

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Failure analysis is the cornerstone of asset management via life-cycle costs optimizations. Knowledge graphs are semantic nets that are the next level of database technology. Machine learning (ML) is a field of inquiry devoted to understanding and building methods that “learn”, that is, methods that leverage data to improve performance on some set of tasks. We propose to structure the machine learning data into knowledge graphs to foster advanced failure analysis leveraging optimum life-cycle costs where costs are considered in the largest possible sense including the cost of human life preservation (safety) and the cost (impact) on the environment.
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Terabe, Masahiro, Naohiro Yabuta, Jun Kawai, Takeo Ohashi, and Masayuki Nakao. "Organizational Applications of Failure Knowledge Management." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84543.

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In and after about the year 2000, organizations have started to build databases of workers’ accidents, troubles in the production processes, and customer complaints to make positive use of such failure information. For quantifying such organizational applications and clarifying their problems, we developed a new worksheet, “Failure Knowledge Application Evaluation Sheet (FKAES)”, and conducted a survey by having members of the Association for the Study of Failure fill out the worksheet. Our research disclosed the following facts with organizations. They properly feedback failures that require action in the production and inspection processes, however, do not identify those that require action in the planning or development processes as failures because they have organizational causes rather than technical. Large corporations with 1,000 or more employees practice more applications than smaller ones, and some even publicize their failure applications to customers and stockowners.
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Clow, Doug, Rebecca Ferguson, Kirsty Kitto, Yong-Sang Cho, Mike Sharkey, and Cecilia Aguerrebere. "Beyond failure." In LAK '17: 7th International Learning Analytics and Knowledge Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3027385.3029429.

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Clow, Doug, Rebecca Ferguson, Kirsty Kitto, Yong-Sang Cho, Mike Sharkey, and Cecilia Aguerrebere. "Beyond failure." In LAK '17: 7th International Learning Analytics and Knowledge Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3027385.3029447.

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Landauer, Christopher. "Mitigating the Inevitable Failure of Knowledge Representation." In 2017 IEEE International Conference on Autonomic Computing (ICAC). IEEE, 2017. http://dx.doi.org/10.1109/icac.2017.32.

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Song, Zhigang, Felix Beaudoin, Stephen Lucarini, John Sylvestri, Laura Safran, Manuel Villallobos, and Richard Oldrey. "Failure Analysis for SRAM Logic Type Failures." In ISTFA 2013. ASM International, 2013. http://dx.doi.org/10.31399/asm.cp.istfa2013p0105.

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Abstract Failure analysis for Static Random Access Memory (SRAM) is the major activity in any microelectronic failure analysis lab. Originating from SRAM array structure, SRAM failure can be simple as single bit, paired bit or quad bit failures, whose defect is located at the failure location, or complicated as logic type failure involving WL or BL patterns or entire blocks, whose defect is often not at the failure location. For such SRAM logic type failures, failure analysis is more challenging and detailed fault isolation is necessary prior to physical failure analysis. This paper has demonstrated how to use SRAM decoder scheme knowledge, detailed layout tracing and Photon Emission Microscope (PEM) analysis to deal with the challenges and find the root causes for several cases of SRAM logic type failures.
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Limon, S. M., O. P. Yadav, J. Muscha, and B. Nepal. "Hydrostatic transmission system failure analysis and utilization of failure knowledge: A case study." In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2015. http://dx.doi.org/10.1109/ieem.2015.7385795.

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Chen, Ying, Cui Ye, and Guoqi Li. "Failure mode databases and their knowledge-based management." In 2014 International Conference on Reliability, Maintainability and Safety (ICRMS). IEEE, 2014. http://dx.doi.org/10.1109/icrms.2014.7107294.

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Larson, Stephen. "Knowledge Management Success and Failure: 2 Case Studies." In 2015 48th Hawaii International Conference on System Sciences (HICSS). IEEE, 2015. http://dx.doi.org/10.1109/hicss.2015.479.

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Ness, P. S., D. Bereket, M. Hakimi, T. Uthus, and A. Chakravarty. "A Knowledge based Tool for Failure Propagation Analysis." In 1989 American Control Conference. IEEE, 1989. http://dx.doi.org/10.23919/acc.1989.4790216.

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Reports on the topic "Failure knowledge"

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Wood, Richard Thomas, Laura L. Pullum, Cyrus M. Smith, David Eugene Holcomb, Kofi Korsah, and Michael David Muhlheim. Common-Cause Failure Mitigation Practices and Knowledge Gaps. Office of Scientific and Technical Information (OSTI), November 2012. http://dx.doi.org/10.2172/1185334.

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Salter, R., Natàlia Garcia-Reyero, Alicia Ruvinsky, Maria Seale, and Edward Perkins. Adverse outcome pathways for engineered systems. Engineer Research and Development Center (U.S.), July 2023. http://dx.doi.org/10.21079/11681/47336.

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Companies and organizations around the world spend massive amounts of money each year to discover, predict, and remediate failures within engineered systems. These tasks require individuals with specialized knowledge in a variety of topics related to failure. This knowledge is often acquired through years of academic and on-the-job training centered around the review of scientific documentation such as books, reports, manuals, and peer-reviewed publications. The loss of this knowledge through employee attrition can be detrimental to a group as knowledge is often difficult to reacquire. The aggregation and representation of known failure mechanisms for engineered materials could aid in the sharing of knowledge, the acquisition of knowledge, and the discovery of failure causes, reducing the risk of failure. Thus, the current work proposes the Adverse Outcome Pathway for Engineered Systems (AOP-ES) framework, an extension of the Adverse Outcome Pathway used in toxicology. The AOP-ES is designed to document failure knowledge, enabling knowledge transfer and the prediction of failures of novel engineered materials based on the performance of similar materials. This paper introduces the AOP-ES framework and its key elements alongside the principles that govern the framework. An application of the framework is presented, and additional benefits are explored.
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Gerilla-Teknomo, Gloria P., and Jiawen Yang. Creating a Successful New City Development Within a City Cluster: Global Knowledge and Insights for Xiong’an in the People’s Republic of China. Asian Development Bank, March 2022. http://dx.doi.org/10.22617/wps220111-2.

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The presence of anchor institutions and transport infrastructure, strong national and local government policies, and business models with private sector participation can jump-start and sustain new city development. This paper has studied 16 major new city developments in the world to determine the factors that contributed to their success or failure. These factors were analyzed to synthesize useful knowledge and draw insights that the Xiong’an New Area in the People’s Republic of China and other new city developments in the world can learn from to better achieve their growth objectives.
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Mittelstadt, Benjamin. PR-430-133757-R01 PHMSA Comprehensive Study to Understand Longitudinal ERW Seam Failures. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), October 2017. http://dx.doi.org/10.55274/r0011439.

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In 2011, the US Department of Transportation (DOT) Pipeline and Hazardous Materials Safety Administration (PHMSA) initiated a project known as the "Comprehensive Study to Understand Longitudinal ERW Seam Failures" (PHMSA Phase 1 ERW Study). The project deliverables were thirteen (13) individual 'task reports' and a summary report which included considerations for failure history, characteristics of ERW seams that make them susceptible to failure, fracture mechanics and fatigue models, selective seam weld corrosion, integrity assessment, and non-destructive examination (NDE) methods. As of the development of this report, a second phase of the PHMSA research program is now under way including full scale testing and validation of integrity assessment and NDE methods. This report is a summary of an industry critical review performed by several representative PRCI member companies of the PHMSA Phase 1 ERW Study. It is recognized that a second phase of the research is currently under way by PHMSA, however PRCI's member companies wanted to review and capitalize on relevant information and data presented in the current body of knowledge. Ultimately, this and other work performed throughout the industry will provide the foundation for developing and validating integrity management programs for pipelines constructed of vintage ERW line pipe.
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Rimpel. PO-316-10208-R01 Guideline for Assembly and Maintenance of Bolted Joints in High Vibration Environments. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), March 2011. http://dx.doi.org/10.55274/r0010984.

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This guideline is intended to provide a practical review of installation and maintenance practices for bolted joints that will minimize the likelihood of leakage or joint failure. The guideline addresses topics such as preload selection, installation tools, lubrication, gaskets, assembly procedures, preload verification tools, maintenance procedures, and vibration loosening. The guideline is designed to provide engineers and technicians with the knowledge necessary for successful assembly and maintenance of bolted joints. Use with caution. GMRC decided to pull this document from circulation due to unresolved issues with certain sections of the guideline. (6/6/2011)
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Mai, Zhefen, Chunli Lu, Zixun Zhuang, and Hongxia Ma. Effectiveness and safety of Er-xian Decoction (traditional Chinese medicine) for women with Primary ovarian insufficiency. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2021. http://dx.doi.org/10.37766/inplasy2021.11.0107.

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Review question / Objective: To assess the effectiveness and safety of Er-xian Decoction in the treatment of primary ovarian insufficiency. Information sources: We will search the following electronic databases, including 3 English databases (PubMed, EMBASE, Cochrane Library) and 4 Chinese databases (China national knowledge infrastructure database, Wanfang database, Sinomed Database, and VIP database). The filters were English and Chinese language. The following key words in Title/Abstract or MeSH search headings are used: “Er-xian” and “Hormone replacement therapy” or “Femoston” or “Climen” and “Primary ovarian insufficiency” or “Ovarian failure” or “Premature ovarian failure” or “POI” and “random*” or “Randomized controlled trial”. In addition, we also search the grey literature such as conference proceedings and dissertations in CNKI and Wanfang database, and relevant trials will be searched in ClinicalTrial.gov database [20] and Chinese Clinical Trial Registry for unpublished trials and protocols. References of all included studies will be hand searched for additional eligible studies.
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Desjardins. L52204 Framework for the Optimization of Inspection Intervals. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 2004. http://dx.doi.org/10.55274/r0011352.

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The goal of this project is to develop a methodology to find the optimal inspection timing of pipelines carrying hazardous materials. The four principle parameters affecting the need for inspection are: - Anomaly severity - Deterioration rate Limit state - Consequences of failure In addition to these parameters, considered in this research, uncertainty needs to be understood and accounted for. Knowledge of each of the above parameters is limited by various factors. Morrison has chosen to approach this uncertainty with a probabilistic method that leads to a risk and reliability solution. As applicable to the optimization of inspection timing, the goal of this report is to provide a set of procedures to: - Assess pipeline integrity - Assess corrosion rates Predict future corrosion severity - Predict the increase of probability of failure (POF), reliability, and risk as a function of time and location along the pipeline - Optimize inspection, repair, and mitigation programs to maintain target integrity levels There is software related to this research.
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Zhang, Yong. Efficacy and safety of corticosteroid therapy in patients with cardiac arrest: a meta-analysis of randomized controlled trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2023. http://dx.doi.org/10.37766/inplasy2023.1.0014.

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Review question / Objective: Our goal was to assess the effect of primary treatment outcome (overall survival rate at hospital discharge, rate of sustained ROSC) and secondary outcomes (favorable neurological outcomes at hospital discharge and adverse events including hyperglycemia, insulin infusion, hypernatremia, infection, gastrointestinal bleeding, new or changing antibiotics, paresis, renal failure). Information sources: Two researchers (Zhou FW and Liu C) independently searched the PubMed, Embase, The Cochrane Library, Web of Science and China National Knowledge Internet (CNKI) databases from inception to 11 October, 2022 by using medical subject headings (MeSH), Emtree, and text word with no language limitations.
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Unknown, Author. WINMOP-R03 Performance of Offshore Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), June 2003. http://dx.doi.org/10.55274/r0011744.

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The objective of the project was to validate existing pipeline integrity prediction models through field testing multiple pipelines, validate the performance of in-line instrumentation through smart pig runs, and finally, to assess the actual integrity of aging damaged and defective pipelines. The objectives were accomplished by the testing of aging out-of-service lines using "smart pigs", followed by hydrotesting of the lines to failure, recovery of the failed sections, and determination of the pipeline characteristics in the vicinity of the failed sections (failure analysis). One objective of the project was to validate the dented, gouged, and corroded pipeline burst strength prediction models currently in existence, such as ASME B31-G, R-Streng, and DNV 99 for pipelines. Another model was being developed as a joint international project sponsored by the U. S. Minerals Management Service, Petroleos Mexicanos (PEMEX), and Instituto Mexicano del Petroleo (IMP) titled RAM PIPE REQUAL and an associated JIP identified as PIMPIS (Pipeline Inspection, Maintenance, and Performance Information System), this would be tested and validated as well. The validation was provided by hydrotesting in-situ pipelines to failure. Sustained and rapidly applied hydro-pressures were used to investigate the effects of delayed and dynamic pressure related failures. After testing, the pipelines were scheduled for decommissioning; with the failed sections located, and brought to the laboratory for testing and analysis. Class A predictions were made before the pipelines were hydrotested to failure based on results from in-line instrumentation (instrumented) and from knowledge of the pipeline products and other characteristics (not instrumented). Based on the results from the testing, the analytical models were to be revised to provide improved agreement between the measured and predicted burst pressures. Since the pipelines were inspected with smart pigs before the hydro-tests, it was possible to compare the smart-pig data gathered during pig runs to the actual condition of the pipeline. This was accomplished by recovering sections of the pipeline that were identified by the pig as having pits or metal-loss areas. Reviewed pipeline decommissioning inventory and selected a pipeline candidate. The specific scope of work included: � Selected pipelines for testing. � Conducted field tests with an instrumented pig to determine pipeline denting, gouging and corrosion conditions. � Used existing analytical models to determine burst strength for both instrumented and non-instrumented pipelines. � Hydrotested the selected pipelines to failure (sustained and rapidly applied pressures). � Located and retrieve failed sections and other sections identified as problem spots by the "smart-pig." � Compared "smart pig" data to actual pipeline condition. � Analyzed the failed sections to determine their physical and material characteristics. � Revised the analytical models to provide improved agreements between predicted and measured burst pressures.
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Poerner. PR-015-11211-R01 Mechanical Seal Auxiliary Systems Guideline. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), October 2013. http://dx.doi.org/10.55274/r0010789.

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The reliance on centrifugal pumps the world over implies a heavy reliance on mechanical seals. In order to get the highest level of performance from the seals, auxiliary systems are used either to condition the seal operating environment or monitor the systems and detect failures. Current standards already exist that recommend seal auxiliary systems based on certain pump operating conditions, and are widely accepted in the industry both among seal end-users and vendors. And because of their knowledge on the actual seals, the vendors are the primary source for end-users to receive designs and equipment for the auxiliary systems. All of these systems will rely on a number of components that will be selected based on the seals, the operating conditions, and the requirements of the end-user�s facility. Therefore, accurate details for the range of operating conditions of the pump and the product must be supplied to the vendors; that way the vendors can properly specify the seal and the required auxiliary systems. For example, if the product is expected to have considerable contaminants, a filter/separator may be recommended to prevent the contaminants from depositing on the seal faces. If the product will be considerably high in temperature, the recommendation may be to include a cooler to reduce heat build-up in the seals. However, regardless of how well the seal environment is conditioned, it is still expected that the seals will fail. When this failure does occur, additional components may also be selected that will attempt to reduce the amount of product released. These leak detection components are also considered auxiliary system for the seal. Monitoring components can also be used to detect and possibly predict when this failure might occur, thereby, possibly avoiding the unplanned failure altogether. In the future use of seal auxiliary systems, it is this monitoring and trending of operating data that is becoming more critical. Much of the required technology to perform this trending is already in existence; but it is only slowly being adopted, with some possible advances in technology adding to the accuracy and reliability of the trended predictions and detections.
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You might also be interested in the extended bibliographies on the topic 'Failure knowledge' for particular source types:
Journal articles Dissertations / Theses Books
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