Gotowa bibliografia na temat „FAULTY NODE DETECTION”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Zobacz listy aktualnych artykułów, książek, rozpraw, streszczeń i innych źródeł naukowych na temat „FAULTY NODE DETECTION”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Artykuły w czasopismach na temat "FAULTY NODE DETECTION"
Panda, Meenakshi, i P. M. Khilar. "Energy Efficient Distributed Fault Identification Algorithm in Wireless Sensor Networks". Journal of Computer Networks and Communications 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/323754.
Pełny tekst źródłaBae, Jangsik, Meonghun Lee i Changsun Shin. "A Data-Based Fault-Detection Model for Wireless Sensor Networks". Sustainability 11, nr 21 (5.11.2019): 6171. http://dx.doi.org/10.3390/su11216171.
Pełny tekst źródłaMahapatro, Arunanshu, i Pabitra Mohan Khilar. "An Adaptive Approach to Discriminate the Persistence of Faults in Wireless Sensor Networks". ISRN Sensor Networks 2012 (14.10.2012): 1–13. http://dx.doi.org/10.5402/2012/342461.
Pełny tekst źródłaXu, Xiaowei, Fangrong Zhou, Yongjie Nie, Wenhua Xu, Ke Wang, Jian OuYang, Kaihong Zhou, Shan Chen i Yiming Han. "Fault Detection and Location of 35 kV Single-Ended Radial Distribution Network Based on Traveling Wave Detection Method". Processes 11, nr 8 (19.08.2023): 2494. http://dx.doi.org/10.3390/pr11082494.
Pełny tekst źródłaIslampurkar, Mangesh, Kishanprasad Gunale, Sunil Somani i Nikhil Bagade. "Multiple Stuck At Fault Diagnosis System For Digital Circuit On FPGA Using Vedic Multiplier and ANN". International Journal of Circuits, Systems and Signal Processing 16 (30.05.2022): 985–92. http://dx.doi.org/10.46300/9106.2022.16.120.
Pełny tekst źródłaSun, Yin Qiu, i Hai Lin Feng. "Intermittent Faults Diagnosis in Wireless Sensor Networks". Applied Mechanics and Materials 160 (marzec 2012): 318–22. http://dx.doi.org/10.4028/www.scientific.net/amm.160.318.
Pełny tekst źródłaLiu, Kezhong, Yang Zhuang, Zhibo Wang i Jie Ma. "Spatiotemporal Correlation Based Fault-Tolerant Event Detection in Wireless Sensor Networks". International Journal of Distributed Sensor Networks 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/643570.
Pełny tekst źródłaSaihi, Marwa, Ahmed Zouinkhi, Boumedyen Boussaid, Mohamed Naceur Abdelkarim i Guillaume Andrieux. "Hidden Gaussian Markov model for distributed fault detection in wireless sensor networks". Transactions of the Institute of Measurement and Control 40, nr 6 (15.03.2017): 1788–98. http://dx.doi.org/10.1177/0142331217691334.
Pełny tekst źródłaDuche, R. N., i N. P. Sarwade. "Faulty Sensor Node Detection Using Round Trip Time and Discrete Paths in WSNs". ISRN Sensor Networks 2013 (23.09.2013): 1–12. http://dx.doi.org/10.1155/2013/941489.
Pełny tekst źródłaV, Bindhu, i Ranganathan G. "Effective Automatic Fault Detection in Transmission Lines by Hybrid Model of Authorization and Distance Calculation through Impedance Variation". March 2021 3, nr 1 (27.03.2021): 36–48. http://dx.doi.org/10.36548/jei.2021.1.004.
Pełny tekst źródłaRozprawy doktorskie na temat "FAULTY NODE DETECTION"
Pettersson, Christopher. "Automatic fault detection and localization in IPnetworks : Active probing from a single node perspective". Thesis, Linköpings universitet, Programvara och system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120414.
Pełny tekst źródłaRu, Jifeng. "Adaptive estimation and detection techniques with applications". ScholarWorks@UNO, 2005. http://louisdl.louislibraries.org/u?/NOD,285.
Pełny tekst źródłaTitle from electronic submission form. "A dissertation ... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Engineering and Applied Science"--Dissertation t.p. Vita. Includes bibliographical references.
Lalem, Farid. "Cadre méthodologique et applicatif pour le développement de réseaux de capteurs fiables". Thesis, Brest, 2017. http://www.theses.fr/2017BRES0063/document.
Pełny tekst źródłaWireless sensor networks emerge as an innovative technology that can revolutionize and improve our way to live, work and interact with the physical environment around us. Nevertheless, the use of such technology raises new challenges in the development of reliable and secure systems. These wireless sensor networks are often characterized by dense deployment on a large scale in resource-onstrained environments. The constraints imposed are the limitation of the processing, storage and especially energy capacities since they are generally powered by batteries.Our main objective is to propose solutions that guarantee a certain level of reliability in a WSN dedicated to sensitive applications. We have thus proposed three axes, which are:- The development of methods for detecting failed sensor nodes in a WSN.- The development of methods for detecting anomalies in measurements collected by sensor nodes, and subsequently fault sensors (providing false measurements).- The development of methods ensuring the integrity and authenticity of transmitted data over a WSN
Frini, Marouane. "Diagnostic des engrenages à base des indicateurs géométriques des signaux électriques triphasés". Thesis, Lyon, 2018. http://www.theses.fr/2018LYSES052.
Pełny tekst źródłaAlthough they are widely used, classical vibration measurements have several limitations. Vibration analysis can only identify about 60% of the defects that may occur in mechanical systems. However, the main drawbacks of vibration measurements are the difficult access to the transmission system in order to place the sensor as well as the consequent cost of implementation. This results in sensitivity problems relative to the position of the installation and the difficulty to distinguish the source of vibration because of the diversity of mechanical excitations that exist in the industrial environment.Hence, the Motor Current Signatures Analysis (M.C.S.A.) represents a promising alternative to the vibration analysis and has therefore been the subject of increasing attention in recent years. Indeed, the analysis of electrical signatures has the advantage of being a technically accessible method as well as inexpensive and non-intrusive to the system. Techniques based on currents and voltages only require the motor’s electrical measurements which are often already supervised for the purposes of the control and the protection of the electrical machines. This process was mainly used for the detection of motors faults such as rotor bars breakage and eccentricity faults as well as bearings defects. On the other hand, very little research has been focused on gear faults detection using the current analysis. In addition, three-phase electrical signals are characterized by specific geometric representations related to their waveforms and they can serve as different indicators providing additional information. Among these geometric indicators, the Park and Concordia transforms model the electrical components in a two-dimensional coordinate system and any deviation from the original representation indicates the apparition of a malfunction. Moreover, the differential equations of Frenet-Serret represent the trajectory of the signal in a three-dimensional euclidean space and thus indicate any changes in the state of the system. Although they have been previously used for bearing defects, these indicators have not been applied in the detection of gear defects using the analysis of electrical current signatures. Hence, the innovative idea of combining these indicators with signal processing techniques, as well as classification techniques for gears diagnosis using the three-phase motor’s electrical current signatures analysis is established.Hence, in this work, a new approach is proposed for gear faults diagnosis using the motor currents analysis, based on a set of geometric indicators (Park and Concordia transforms as well as the properties of the Frenet-Serret frame). These indicators are part of a specifically built fault signatures library and which also includes the classical indicators used for a wide range of faults. Thus, a proposed estimation algorithm combines experimental measurements of electrical signals with advanced signal processing methods (Empirical Mode Decomposition, ...). Next, it selects the most relevant indicators within the library based on feature selection algorithms (Sequential Backward Selection and Principal Component Analysis). Finally, this selection is combined with non-supervised classification (K-means) for the distinction between the healthy state and faulty states. It was finally validated with a an additional experimental configuration in different cases with gear faults, bearing faults and combined faults with various load levels
SHARMA, AKSHAY. "ANFIS AND FUZZY BASED FAULTY NODE DETECTION FOR WIRELESS SENSOR NETWORK". Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/20398.
Pełny tekst źródłaYang, Shih-An, i 楊世安. "A Log-Only Node Fault Detection Method in Wireless Sensor Network". Thesis, 2011. http://ndltd.ncl.edu.tw/handle/40470148701113594855.
Pełny tekst źródłaChen, Hsin-Hsiu, i 陳新秀. "An improved SPRT detection method for replication node in fault tolerant wireless sensor networks". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/3wq42g.
Pełny tekst źródła國立交通大學
資訊管理研究所
105
As the Internet of Things came, the application of the wireless sensor networks has increased. Meanwhile, there are also many threats of networks security need to be dealt with. One of the network attacks is the replication attack. The attackers may replicate few of the nodes to be considered as the legitimate nodes. The cloned nodes would integrate into the original network and launch a variety of internal attacks. There are several replica detections in the literature for the mobile environment. Most of the detections are limited by high computation and communication cost. Some of detections based on the Sequential Probability Ratio Test have much lower system overhead. However, these prior works decrease the accuracy when sensors lie in a server environment so that sensors are prone to retransmit the message. This paper proposes a replica detection based on the SPRT in fault tolerant wireless sensor network. In order to improve the accuracy of the judgment, we use the power of nodes and the slope of energy as the appendix and apply the SPRT to adjust the replica detection dynamically in the fault tolerant environment. The experiments show that our proposed scheme achieves better performance on both efficiency of detecting and reduction of error rate than the prior work.
(9780674), Esteban Bernal Arango. "Smart sensor node for freight wagon condition monitoring systems". Thesis, 2021. https://figshare.com/articles/thesis/Smart_sensor_node_for_freight_wagon_condition_monitoring_systems/19184819.
Pełny tekst źródłaAli, Md Mohsin. "High Performance Fault-Tolerant Solution of PDEs using the Sparse Grid Combination Technique". Phd thesis, 2016. http://hdl.handle.net/1885/109292.
Pełny tekst źródłaCzęści książek na temat "FAULTY NODE DETECTION"
Puthussery, Antony, i G. Muneeswari. "Faulty Node Detection Using Vertex Magic Total Labelling in Distributed System". W Sustainable Communication Networks and Application, 619–30. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8677-4_50.
Pełny tekst źródłaAnand, Santosh, i B. P. Adithi. "Detection and Prevention of Faulty Node in Heterogeneous Wireless Sensor Network". W Advances in Intelligent Systems and Computing, 383–97. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5301-8_29.
Pełny tekst źródłaSatish, E. G., i A. C. Ramachandra. "Faulty Node Detection and Correction of Route in Network-On-Chip (NoC)". W Innovative Data Communication Technologies and Application, 783–89. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7167-8_57.
Pełny tekst źródłaDeshmukh, Ketki, i Avinash More. "Modified Long Short-Term Memory Algorithm for Faulty Node Detection Using node’s Raw Data Pattern". W Data Management, Analytics and Innovation, 345–55. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1414-2_26.
Pełny tekst źródłaMohapatra, Nibedita Priyadarsini, i Manjushree Nayak. "An Energy-Saving Approach for Routing in Wireless Sensor Networks with ML-Based Faulty Node Detection". W Advances in IoT and Security with Computational Intelligence, 309–22. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5085-0_30.
Pełny tekst źródłaNath, Nithish N., V. Radhamani Pillay i G. Saisuriyaa. "Distributed Node Fault Detection and Tolerance Algorithm for Controller Area Networks". W Advances in Intelligent Systems and Computing, 247–57. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23258-4_22.
Pełny tekst źródłaMondal, Bappaditya, Anirban Bhattacharjee, Subham Saha, Shalini Parekh, Chandan Bandyopadhyay i Hafizur Rahaman. "An Approach for Detection of Node Displacement Fault (NDF) in Reversible Circuit". W Communications in Computer and Information Science, 605–16. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9767-8_50.
Pełny tekst źródłaYang, Ming, Jun Huang i Fei Sun. "A Note on Actuator Fault Detection for One-Sided Lipschitz Systems". W Lecture Notes in Electrical Engineering, 574–81. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9682-4_60.
Pełny tekst źródłaBanerjee, Indrajit, Prasenjit Chanak, Biplab Kumar Sikdar i Hafizur Rahaman. "DFDNM: A Distributed Fault Detection and Node Management Scheme for Wireless Sensor Network". W Advances in Computing and Communications, 68–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22720-2_7.
Pełny tekst źródłaDas, Sukanta, Nazma N. Naskar, Sukanya Mukherjee, Mamata Dalui i Biplab K. Sikdar. "Characterization of CA Rules for SACA Targeting Detection of Faulty Nodes in WSN". W Lecture Notes in Computer Science, 300–311. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15979-4_32.
Pełny tekst źródłaStreszczenia konferencji na temat "FAULTY NODE DETECTION"
Li, Wenjie, Laura Galluccio, Michel Kieffer i Francesca Bassi. "Distributed Faulty Node Detection in DTNs". W 2016 25th International Conference on Computer Communication and Networks (ICCCN). IEEE, 2016. http://dx.doi.org/10.1109/icccn.2016.7568511.
Pełny tekst źródłaRoyyan, Muhammad, Joong-Hyuk Cha, Jae-Min Lee i Dong-Seong Kim. "Data-driven faulty node detection scheme for Wireless Sensor Networks". W 2017 Wireless Days (WD). IEEE, 2017. http://dx.doi.org/10.1109/wd.2017.7918145.
Pełny tekst źródłaJadav, Pooja, i Vinoth K. Babu. "Fuzzy logic based faulty node detection in Wireless Sensor Network". W 2017 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2017. http://dx.doi.org/10.1109/iccsp.2017.8286384.
Pełny tekst źródłaLi, Wenjie, Francesca Bassi, Michel Kieffer, Alex Calisti, Gianni Pasolini i Davide Dardari. "Distributed faulty node detection in DTNs in presence of Byzantine attack". W ICC 2017 - 2017 IEEE International Conference on Communications. IEEE, 2017. http://dx.doi.org/10.1109/icc.2017.7996846.
Pełny tekst źródłaDusane, Atul V., i Krishnakant P. Adhiya. "Detection of Faulty node with Hybrid Machine Learning using SVM model". W 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES). IEEE, 2023. http://dx.doi.org/10.1109/cises58720.2023.10183576.
Pełny tekst źródłaShial, Rabindra Kumar, Bhabani Sankar Gouda, Sudhir Ranjan Pattanaik i Nilambar Sethi. "A Centralized Faulty Node Detection Algorithm Based on Statistical Analysis in WSN". W 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA). IEEE, 2020. http://dx.doi.org/10.1109/iccsea49143.2020.9132847.
Pełny tekst źródłaEjbali, Ridha, Mourad Zaied, Jamila Atiga i Nour Elhouda Mbarki. "Faulty node detection in wireless sensor networks using a recurrent neural network". W Tenth International Conference on Machine Vision (ICMV 2017), redaktorzy Jianhong Zhou, Petia Radeva, Dmitry Nikolaev i Antanas Verikas. SPIE, 2018. http://dx.doi.org/10.1117/12.2314837.
Pełny tekst źródłaZhu, Bing, Wenzhu Zhang, Wei Feng i Lin Zhang. "Distributed faulty node detection and isolation in delay-tolerant vehicular sensor networks". W 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2012). IEEE, 2012. http://dx.doi.org/10.1109/pimrc.2012.6362584.
Pełny tekst źródłaPhatak, Tejashree, i S. D. Sawarkar. "Enhancing QoS of Wireless Sensor Network by detection of faulty sensor node". W 2016 International Conference on Computing, Analytics and Security Trends (CAST). IEEE, 2016. http://dx.doi.org/10.1109/cast.2016.7914948.
Pełny tekst źródłaLalem, Farid, Ahcène Bounceur, Reinhardt Euler, Mohammad Hammoudeh, Rahim Kacimi i Sanaa Kawther Ghalem. "Distributed faulty sensor node detection in wireless sensor networks based on copula theory". W ICC '17: Second International Conference on Internet of Things, Data and Cloud Computing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3018896.3065837.
Pełny tekst źródła