Academic literature on the topic 'Industrial alarm system'

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Journal articles on the topic "Industrial alarm system"

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Xu, S., G. F. Liu, Y. F. Gan, et al. "The development of the alarm system for HLS-II." Journal of Instrumentation 17, no. 06 (2022): P06027. http://dx.doi.org/10.1088/1748-0221/17/06/p06027.

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Abstract Hefei Light Source II (HLS-II) is a vacuum ultraviolet synchrotron light source. The control system of HLS-II is a distributed system based on the experimental physics and industrial control system (EPICS). The alarm system of HLS-II is responsible for monitoring the alarm state of the facility and distributing the alarm message in time. It facilitates the operator to troubleshoot problem efficiently, so as to improve the availability of HLS-II. Phoebus/Alarms (Alarms) is the latest alarm software released in EPICS community. Based on Alarms, the alarm system of HLS-II is designed, de
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Kondo, Ricardo Eiji, Eduardo de Freitas Rocha Loures, Eduardo Alves Portela Santos, and Carmela Maria Polito Braga. "Alarm Rationalization Based on Process Mining Techniques." Advanced Materials Research 1061-1062 (December 2014): 1258–65. http://dx.doi.org/10.4028/www.scientific.net/amr.1061-1062.1258.

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Industries in general need a reliable system for fault identification and alarm management. The high incidence of alarms can overload the operator, exposing him to conditions that may exceed their ability to perform effective actions, impairing his performance during his workday. In this context, the present paper proposes an approach for alarms rationalization based on process mining techniques. The alarm rationalization is in accordance to the alarm lifecycle management model suggested by ANSI / ISA-18 standard. The aim of this paper is to improve the alarm system through its rationalization
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da Silva, Márcio J., Carlos E. Pereira, and Marcelo Götz. "Context-Aware Recommendation for Industrial Alarm System." IFAC-PapersOnLine 51, no. 11 (2018): 229–34. http://dx.doi.org/10.1016/j.ifacol.2018.08.266.

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Poroshin, A. A., A. A. Kondashov, and V. I. Sibirko. "Efficiency Assessment of Fire Alarm Systems Actuation at the Production Facilities for the Period 2016–2020." Occupational Safety in Industry, no. 4 (April 2021): 32–37. http://dx.doi.org/10.24000/0409-2961-2021-4-32-37.

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The issues of ensuring fire safety of industrial enterprises using automatic fire alarm systems is discussed in the article. The foreign and Russian experience of conducting assessment of the efficiency of automatic fire alarm systems is analyzed. Despite the improvement of the regulatory framework for automatic fire alarm systems, the creation of new devices and technologies for detecting fire hazards, the problem of improving the reliability of automatic fire alarm systems actuation remains relevant. Using the statistical data of the federal state information system «Federal data bank «Fires
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Zhang, Guixin, and Zhenlei Wang. "Correlation Degree and Clustering Analysis-Based Alarm Threshold Optimization." Processes 10, no. 2 (2022): 224. http://dx.doi.org/10.3390/pr10020224.

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In industrial practice, excessive alarms and high alarm rates are mostly generated from unreasonable settings to variable alarm thresholds, which have become the significant causes of impact on operation stability and plant safety. A correlation degree and clustering analysis-based approach was presented to optimize the variable alarm thresholds in this paper. The correlation degrees of variables are first obtained by analyzing correlation relationships among them. Second, the variables are grouped according to the gray correlation coefficients and clustering analysis, given the weight for fau
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Abulhassan, Yousif, David Wilbanks, Richard Kilpatrick, and Tyler Howell. "Industrial Workers Perception of Reverse Motion Warning Devices on Forklifts." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 1861–65. http://dx.doi.org/10.1177/1071181319631008.

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In the United States, forklift accidents account for one in every six workplace fatalities (Bostelman and Shackleford, 2010). Backup warning devices such as tonal alarms and blue safety lights are commonly used to alert pedestrians of approaching forklifts. The purpose of this research is to identify worker’s perception on the effectiveness of two configurations of backup alarm systems: the level of nuisance perceived of these systems; and the importance of having a forward motion warning system. Results of this study indicate no statistically significant differences in the level of satisfacti
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Vásquez, John W., Gustavo Pérez-Zuñiga, Javier Sotomayor-Moriano, and Adalberto Ospino. "Super-Alarms with Diagnosis Proficiency Used as an Additional Layer of Protection Applied to an Oil Transport System." Entropy 23, no. 2 (2021): 139. http://dx.doi.org/10.3390/e23020139.

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In automated plants, particularly in the petrochemical, energy, and chemical industries, the combined management of all of the incidents that can produce a catastrophic accident is required. In order to do this, an alarm management methodology can be formulated as a discrete event sequence recognition problem, in which time patterns are used to identify the safe condition of the process, especially in the start-up and shutdown stages. In this paper, a new layer of protection (a Super-Alarm), based on the diagnostic stage to industrial processes is presented. The alarms and actions of the stand
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Ахмедова, Анастасия, Anastasiya Akhmedova, Татьяна Шевцова, et al. "Estimation of Reliability of Fire Alarm System." Food Processing: Techniques and Technology 48, no. 4 (2019): 79–86. http://dx.doi.org/10.21603/2074-9414-2018-4-79-86.

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Improving the safety of human life is one of the main tasks of scientific and technological progress. A dangerous situation occurs when a person is in a dangerous area, i.e. in a space where constantly, periodically, or occasionally there are situations caused by factors that lead to gradual or instantaneous damage to human health. Fire is one of these situations. The safety of technical systems is solidly linked to their reliability. In firefighting automation, the main purpose of calculating reliability is to determine the probability of failure-free operation of the equipment of the system.
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Dangoumau, N., A. K. A. Toguyeni, and E. Craye. "Functional and behavioural modelling for dependability in automated production systems." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 216, no. 3 (2002): 389–405. http://dx.doi.org/10.1243/0954405021520058.

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Within the exploitation of the automated production systems (APS) framework, supervision and monitoring take the dependability into account. In order to reach these objectives, a method is being developed at the Laboratoire d'Automatique et d'Informatique Industrielle de Lille in a supervision and monitoring framework. The main functions are detection, diagnosis, modes management and faults recovery. This paper focuses on two kinds of modelling: functional modelling and behavioural modelling. On the one hand, these models are used to implement the diagnosis and the modes management functions.
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Mousty, Paul, Jean-Paul Morvan, and André Grimaud. "Automatic Warning Stations, Recent Serious Industrial River Pollution Incidents, and Prediction Models of Pollutants Propagation–Some European Examples." Water Science and Technology 22, no. 5 (1990): 259–64. http://dx.doi.org/10.2166/wst.1990.0038.

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The automatic analysing station located just downstream of the Basel urban area at Huningue, consists of an alarm station linking the automatic detection of certain important pollution parameters (T.O.C., hydrocarbons, heavy metals, pesticides, etc.). and the resulting alarms, to a working mathematical model of pollutant plume propagation, operating on the river between Basel and Strasbourg. This model is keyed to the real flow conditions of the Rhine, determined by life-size tracing operations (using coloured Rhodamine marker). A decisive factor in speeding up the transmission of alarm signal
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Dissertations / Theses on the topic "Industrial alarm system"

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Al-Kharaz, Mohammed. "Analyse multivariée des alarmes de diagnostic en vue de la prédiction de la qualité des produits." Electronic Thesis or Diss., Aix-Marseille, 2021. http://theses.univ-amu.fr.lama.univ-amu.fr/211207_ALKHARAZ_559anw633vgnlp70s324svilo_TH.pdf.

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Cette thèse s’intéresse à la prédiction de la qualité de produits et à l’amélioration de la performance des alarmes de diagnostics au sein d’une usine de semi-conducteurs. Pour cela, nous exploitons l’historique des alarmes collecté durant la production. Premièrement, nous proposons une approche de modélisation et d’estimation du risque de dégradation du produit final associé à chaque alarme déclenchée en fonction du comportement d’activation de celle-ci sur l’ensemble des produits durant la production. Deuxièmement, en utilisant les valeurs de risque estimées pour toute alarme, nous proposons
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Lees, Monica. "Context conditions drivers' disposition towards alarms." Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/845.

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Collision warning systems represent a promising means to reduce rear-end crash involvement. However, these systems experience failures in the real-world that may promote driver distrust and diminish drivers' willingness to comply with warnings. Recent research suggests that not all false alarms (FAs) are detrimental to drivers. However, very few studies have examined how different alarms influence different driving populations. The purpose of this research was to examine how younger, middle-aged, and older drivers (with and without UFOV impairments) evaluated and responded to four different al
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Laumonier, Yannick. "Apport des paradigmes des Systèmes à Evènements Discrets pour la réduction du flux d’alarmes industrielles." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLN049/document.

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Les systèmes d'alarmes jouent un rôle critique dans la bonne exploitation des installations industrielles modernes. Cependant, dans la plupart de ces systèmes, les alarmes ne sont pas toujours traitées correctement par les opérateurs car il y a régulièrement beaucoup trop d’alarmes à gérer, notamment lors des avalanches d’alarmes. Pour réduire le flux d'alarmes, notre approche consiste à détecter des redondances entre alarmes qui pourraient être supprimées. Pour atteindre cet objectif, nous recherchons dans un premier temps les adjacences fréquentes entre les alarmes contenues dans un historiq
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Souza, Danilo Curvelo de. "Sistema Especialista para Supress?o Online de Alarmes em Processos Industriais." Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15465.

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Made available in DSpace on 2014-12-17T14:56:12Z (GMT). No. of bitstreams: 1 DaniloCS_DISSERT.pdf: 3897603 bytes, checksum: cd98fa05a1dee36b5186c50e95b2f03b (MD5) Previous issue date: 2013-02-01<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>Operating industrial processes is becoming more complex each day, and one of the factors that contribute to this growth in complexity is the integration of new technologies and smart solutions employed in the industry, such as the decision support systems. In this regard, this dissertation aims to develop a decision support system base
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Ara?jo, Juliano Rafael Sena de. "M?tricas de desempenho para sistema de alarmes de processos industriais." Universidade Federal do Rio Grande do Norte, 2011. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15384.

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Made available in DSpace on 2014-12-17T14:55:55Z (GMT). No. of bitstreams: 1 JulianoRSA_DISSERT.pdf: 4399456 bytes, checksum: 8d53781b4f639461b07950fb560261a7 (MD5) Previous issue date: 2011-07-04<br>The evolution of automation in recent years made possible the continuous monitoring of the processes of industrial plants. With this advance, the amount of information that automation systems are subjected to increased significantly. The alarms generated by the monitoring equipment are a major contributor to this increase, and the equipments are usually deployed in industrial plants without a fo
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Aslansefat, K., M. B. Gogani, Sohag Kabir, M. A. Shoorehdeli, and M. Yari. "Performance evaluation and design for variable threshold alarm systems through semi-Markov process." 2019. http://hdl.handle.net/10454/17429.

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Yes<br>In large industrial systems, alarm management is one of the most important issues to improve the safety and efficiency of systems in practice. Operators of such systems often have to deal with a numerous number of simultaneous alarms. Different kinds of thresholding or filtration are applied to decrease alarm nuisance and improve performance indices, such as Averaged Alarm Delay (ADD), Missed Alarm and False Alarm Rates (MAR and FAR). Among threshold-based approaches, variable thresholding methods are well-known for reducing the alarm nuisance and improving the performance of the alarm
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CHEN, RUEI-HONG, and 陳瑞宏. "Investigation of industrial fire alarm system –a case study in New Taipei City illegal factories." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/z57xxs.

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碩士<br>醒吾科技大學<br>資訊科技應用系<br>105<br>As the unceasingly development of progresses economic, the growth of population, the lands are less along with time. In order to increase the spatial availability and spatial convenience, several illegal building and sheet metal houses were built in many cities. Furthermore, since the advance of construction technology and engineering method, the sheet metal houses become larger, more complex and diversify. These situations largely increased the hazard of fire, stopping people from getting out of the building and fire rescue. However, a key question is why the
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Books on the topic "Industrial alarm system"

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Bailin, Paul, and Dagfinn Senturia. Commercial & industrial security. Freedonia Group, 1999.

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Elliott, Paul. Security systems: A guide to buying. Witherby & Co., 1992.

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Alarm management for process control: A best-practice guide for design, implementation, and use of industrial alarm systems. Momentum Press, 2009.

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Hakim, Simon. Commercial security: Burglary patterns and security measures. Security Industry Association, 1994.

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W, Bradley A. L., ed. Handbook of checked baggage screening: Advanced airport security operation. Professional Engineering, 2004.

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Fii, Paul E., and Paul Elliott. Security Systems: A Guide to Buying (Witherby Practical Guide). Hyperion Books, 1990.

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Bieder, Corinne. The Coupling of Safety and Security: Exploring Interrelations in Theory and Practice. Springer Nature, 2020.

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Ince, A. Nejat. Principles of Integrated Maritime Surveillance Systems. Springer, 2013.

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Nejat, Ince A., ed. Principles of integrated maritime surveillance systems. Kluwer Academic, 2000.

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Maplin and Staff Maplin. Home Security Projects (Maplin Series). Butterworth-Heinemann, 1996.

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Book chapters on the topic "Industrial alarm system"

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Feo-Arenis, Sergio, Bernd Westphal, Daniel Dietsch, Marco Muñiz, and Ahmad Siyar Andisha. "The Wireless Fire Alarm System: Ensuring Conformance to Industrial Standards through Formal Verification." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06410-9_44.

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Bockelmann, Martina, Peter Nickel, and Friedhelm Nachreiner. "Ergonomics Analysis of Alarm Systems and Alarm Management in Process Industries." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96077-7_79.

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Rentrop, Peter, and Gerd Steinebach. "A Method of Lines Approach for River Alarm Systems." In Progress in Industrial Mathematics at ECMI 96. Vieweg+Teubner Verlag, 1997. http://dx.doi.org/10.1007/978-3-322-96688-9_1.

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Fullen, Marta, Peter Schüller, and Oliver Niggemann. "Validation of similarity measures for industrial alarm flood analysis?" In IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57805-6_6.

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Dagnino, Aldo. "Analyzing Events and Alarms in Control Systems." In Data Analytics in the Era of the Industrial Internet of Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63139-0_4.

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Noda, Masaru. "Performance Monitoring of Industrial Plant Alarm Systems by Statistical Analysis of Plant Operation Data." In Human Interface and the Management of Information. Information and Interaction for Health, Safety, Mobility and Complex Environments. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39215-3_16.

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"Application of computer alarm system in the industrial security equipment system." In Control, Mechatronics and Automation Technology. CRC Press, 2015. http://dx.doi.org/10.1201/b19371-110.

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Ponnusamy, Vasaki, Said Bakhshad, Bobby Sharma, Robithoh Annur, and Teh Boon Seong. "A Survey on Intrusion Detection in Wired and Wireless Network for Future IoT Deployment." In Industrial Internet of Things and Cyber-Physical Systems. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2803-7.ch007.

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An intrusion detection system (IDS) works as an alarm mechanism for computer systems. It detects any malicious activity that happened to the computer system and it alerts an alarm message to notify the user there is malicious activity. There are IDS that are able to take action when malicious or anomalous networks are detected, which include suspending the traffic sent from suspicious IP addresses. The problem statement for this project is to find out the most accurate machine learning algorithm and the types of IDS with different placement strategies. When it comes to the deployment of a wireless network, IDS is not as easy a task as deploying a traditional network IDS. There are many unexpected complexities of the problem of reliable intrusion detection in a wireless network. The motivation of this research is to find the most suitable classification techniques that are able to increase the accuracy of an IDS. Machine learning is useful for the upcoming trend; it provides better accuracy in the detection of malicious traffic.
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HORMEL, M., W. KONEN, S. FUHRMANN, and A. FLÜGEL. "NEURAL SYSTEMS FOR COMPLEX IDENTIFICATION TASKS: THE ACCESS CONTROL SYSTEM ZN-FACE AND THE ALARM IDENTIFICATION SENECA FOR STEEL CASTING PROCESSES." In Industrial Applications of Neural Networks. WORLD SCIENTIFIC, 1998. http://dx.doi.org/10.1142/9789812816955_0010.

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Mehta, B. R., and Y. J. Reddy. "Alarm management systems." In Industrial Process Automation Systems. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-12-800939-0.00021-8.

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Conference papers on the topic "Industrial alarm system"

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Prasetyo, A. E. "Effective Alarm Management System for Process Safety and Plant Reliability." In Indonesian Petroleum Association 44th Annual Convention and Exhibition. Indonesian Petroleum Association, 2021. http://dx.doi.org/10.29118/ipa21-f-49.

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Poorly managed alarms and improper design of alarm system have contribute to major industrial incident. Some examples are fire explosion on Milford Haven, 24th July 1994 where it flooded by alarms at the rate of one every two or three seconds resulting operator cancelling those alarms due to the nuisance (Health and Safety Executive, 1997), other case was from Texas City Refinery explosion, 23rd March 2005 where the high level alarm was ignore while the secondary high alarm was faulty (BP Executive Summary, 2005), and recent incident of Fatal Gas Well Blowout in Pryor Trust gas well Pittsburgh
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Xiaoping Wang, Yanfang Wang, and Junfang Xie. "Multifunctional intelligent wireless alarm system." In 2008 3rd IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2008. http://dx.doi.org/10.1109/iciea.2008.4582521.

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Shunxia, Cao, and Chen Yanda. "Design of Wireless Intelligent Home Alarm System." In 2012 International Conference on Industrial Control and Electronics Engineering (ICICEE). IEEE, 2012. http://dx.doi.org/10.1109/icicee.2012.397.

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Kondaveeti, Sandeep, Pabbi Grover, Masoud Khan, and Sirish Shah. "An application for automated reporting of industrial alarm system performance." In 2014 11th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2014. http://dx.doi.org/10.1109/wcica.2014.7052760.

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Guishuang Tian, Shaoping Wang, and Zhaomin He. "False alarm mechanism and control of aircraft hydraulic system." In 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA 2013). IEEE, 2013. http://dx.doi.org/10.1109/iciea.2013.6566617.

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Huang, Min, and Lizhe Zhu. "Research for Network Fault Real-time Alarm System Based on Pushlet." In 2012 International Conference on Industrial Control and Electronics Engineering (ICICEE). IEEE, 2012. http://dx.doi.org/10.1109/icicee.2012.63.

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Liang, Zhengtang, Na Li, Qiang Zhang, Qiang Ma, Kuan Li, and Xiaozhuang Wang. "Summary of Research on Intelligent Alarm Technology of Substation." In 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, 2021. http://dx.doi.org/10.1109/icpsasia52756.2021.9621728.

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Deng, Jianyang, Chi-Seng Lam, Man-Chung Wong, Lei Wang, Sai-Weng Sin, and Rui Paulo Martins. "A Power Quality Indexes Measurement System Platform with Remote Alarm Notification." In IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2018. http://dx.doi.org/10.1109/iecon.2018.8591375.

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Agapito, Arjay M., Yogi Tri Prasetyo, Satria Fadil Persada, and A. A. N. Perwira Redi. "Quality Assessment Support System for Alarm Prioritization in Pharmaceutical Plant Operations." In 2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA). IEEE, 2021. http://dx.doi.org/10.1109/iciea52957.2021.9436820.

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Draganjac, I., Z. Kovacic, D. Ujlaki, and J. Mikulic. "Dual camera surveillance system for control and alarm generation in security applications." In 2008 IEEE International Symposium on Industrial Electronics (ISIE 2008). IEEE, 2008. http://dx.doi.org/10.1109/isie.2008.4677184.

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Reports on the topic "Industrial alarm system"

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Lamontagne, M. Développement d'un système d'alerte précoce pour les tremblements de terre du Québec. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328951.

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Several regions of the world already have or are in the process of developing an early warning system (EWS) for earthquakes. As is well known, earthquakes cannot be predicted in the short term. However, an EWS is based on the principle that when a strong earthquake occurs, the initial seismic waves detected by seismographs near the epicentre can be quickly analysed. Once analyzed automatically, an alarm signal can be sent to more distant areas before damaging seismic waves arrive. This alert can then be used to take action before the seismic waves arrive (such as stopping industrial activities
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Swank, R. G. Implementation guidance for industrial-level security systems using radio frequency alarm links. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/663160.

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