Статті в журналах з теми "Fault diagnosis alarms"
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Wei, Lu, Zheng Qian, Yan Pei, and Jingyue Wang. "Wind Turbine Fault Diagnosis by the Approach of SCADA Alarms Analysis." Applied Sciences 12, no. 1 (December 22, 2021): 69. http://dx.doi.org/10.3390/app12010069.
Kim, Kyusung, and Alexander G. Parlos. "Reducing the Impact of False Alarms in Induction Motor Fault Diagnosis." Journal of Dynamic Systems, Measurement, and Control 125, no. 1 (March 1, 2003): 80–95. http://dx.doi.org/10.1115/1.1543550.
Ding, Wei, Qing Chen, Yuzhan Dong, and Ning Shao. "Fault Diagnosis Method of Intelligent Substation Protection System Based on Gradient Boosting Decision Tree." Applied Sciences 12, no. 18 (September 7, 2022): 8989. http://dx.doi.org/10.3390/app12188989.
Liu, Pan, Xing Ming Li, and Jian Wu. "A New Algorithm for the Fuzziness of Alarms in Network Faults Diagnosis." Applied Mechanics and Materials 198-199 (September 2012): 1539–44. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1539.
Zhu, Zhi Jie, Jun Li, Jian Yong Liu, and Hong Cheng Jiang. "The Study of Intelligent Processing Frame to Alarms in Monitoring Center." Advanced Materials Research 614-615 (December 2012): 1008–12. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.1008.
Deng, Lingzhi, Yuqiang Cheng, and Yehui Shi. "Fault Detection and Diagnosis for Liquid Rocket Engines Based on Long Short-Term Memory and Generative Adversarial Networks." Aerospace 9, no. 8 (July 26, 2022): 399. http://dx.doi.org/10.3390/aerospace9080399.
Zdiri, Mohamed Ali, Badii Bouzidi, and Hsan Hadj Abdallah. "Performance investigation of an advanced diagnostic method for SSTPI-fed IM drives under single and multiple open IGBT faults." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 2 (March 4, 2019): 616–41. http://dx.doi.org/10.1108/compel-04-2018-0181.
You, Zhuan. "Fault Alarms and Power Performance in Hybrid Electric Vehicles Based on Hydraulic Technology." World Electric Vehicle Journal 14, no. 1 (January 10, 2023): 20. http://dx.doi.org/10.3390/wevj14010020.
Chin, Hsinyung, and Kourosh Danai. "A Method of Fault Signature Extraction for Improved Diagnosis." Journal of Dynamic Systems, Measurement, and Control 113, no. 4 (December 1, 1991): 634–38. http://dx.doi.org/10.1115/1.2896468.
Tian, Ying, Qiang Zou, and Jin Han. "Data-Driven Fault Diagnosis for Automotive PEMFC Systems Based on the Steady-State Identification." Energies 14, no. 7 (March 30, 2021): 1918. http://dx.doi.org/10.3390/en14071918.
Shen, Guang, Yong Zhang, Haifeng Qiu, Chongyu Wang, Fushuan Wen, Md Salam, Liguo Weng, Bin Yu, and Jie Chen. "Fault Diagnosis with False and/or Missing Alarms in Distribution Systems with Distributed Generators." Energies 11, no. 10 (September 27, 2018): 2579. http://dx.doi.org/10.3390/en11102579.
Liu, Edwina, and Du Zhang. "Diagnosis of Component Failures in the Space Shuttlemain Engines Using Bayesian Belief Network: A Feasibility Study." International Journal on Artificial Intelligence Tools 12, no. 03 (September 2003): 355–74. http://dx.doi.org/10.1142/s0218213003001277.
Song, Huizhong, Ming Dong, Rongjie Han, Fushuan Wen, Md Salam, Xiaogang Chen, Hua Fan, and Jian Ye. "Stochastic Programming-Based Fault Diagnosis in Power Systems Under Imperfect and Incomplete Information." Energies 11, no. 10 (September 26, 2018): 2565. http://dx.doi.org/10.3390/en11102565.
LANG, HAOXIANG, and CLARENCE W. DE SILVA. "FAULT DIAGNOSIS OF AN INDUSTRIAL MACHINE THROUGH SENSOR FUSION." International Journal of Information Acquisition 05, no. 02 (June 2008): 93–110. http://dx.doi.org/10.1142/s0219878908001521.
Quatrini, Elena, Francesco Costantino, Xiaochuan Li, and David Mba. "Fault Detection, Diagnosis, and Prognosis of a Process Operating under Time-Varying Conditions." Applied Sciences 12, no. 9 (May 8, 2022): 4737. http://dx.doi.org/10.3390/app12094737.
Cartocci, Nicholas, Marcello R. Napolitano, Francesco Crocetti, Gabriele Costante, Paolo Valigi, and Mario L. Fravolini. "Data-Driven Fault Diagnosis Techniques: Non-Linear Directional Residual vs. Machine-Learning-Based Methods." Sensors 22, no. 7 (March 29, 2022): 2635. http://dx.doi.org/10.3390/s22072635.
Zhou, Zhuoran, Zhanguo Ma, Yingying Jiang, and Minjun Peng. "Fault Diagnosis Using Bond Graphs in an Expert System." Energies 15, no. 15 (August 5, 2022): 5703. http://dx.doi.org/10.3390/en15155703.
Abboudi, Ayman, and Fouad Belmajdoub. "Dynamic Thresholds for a Reliable Diagnosis of Switched Systems." Journal Européen des Systèmes Automatisés 54, no. 6 (December 29, 2021): 827–33. http://dx.doi.org/10.18280/jesa.540604.
Xiangyang, Li, and Chen Wanqiang. "Rolling Bearing Fault Diagnosis Based on Physical Model and One-Class Support Vector Machine." ISRN Mechanical Engineering 2014 (April 14, 2014): 1–4. http://dx.doi.org/10.1155/2014/160281.
Segovia Ramirez, Isaac, Behnam Mohammadi-Ivatloo, and Fausto Pedro García Márquez. "Alarms management by supervisory control and data acquisition system for wind turbines." Eksploatacja i Niezawodnosc - Maintenance and Reliability 23, no. 1 (January 2, 2021): 110–16. http://dx.doi.org/10.17531/ein.2021.1.12.
Ragsdale, Austin, Roger Lew, Brian P. Dyre, and Ronald L. Boring. "Fault Diagnosis with Multi-State Alarms in a Nuclear Power Control Simulator." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 56, no. 1 (September 2012): 2167–71. http://dx.doi.org/10.1177/1071181312561458.
Becker, Vincent, Thilo Schwamm, Sven Urschel, and Jose Alfonso Antonino-Daviu. "Two Current-Based Methods for the Detection of Bearing and Impeller Faults in Variable Speed Pumps." Energies 14, no. 15 (July 26, 2021): 4514. http://dx.doi.org/10.3390/en14154514.
Wu, Lifeng, Beibei Yao, Zhen Peng, and Yong Guan. "An adaptive threshold algorithm for sensor fault based on the grey theory." Advances in Mechanical Engineering 9, no. 2 (February 2017): 168781401769319. http://dx.doi.org/10.1177/1687814017693193.
Qiu, Yingning, Yanhui Feng, and David Infield. "Fault diagnosis of wind turbine with SCADA alarms based multidimensional information processing method." Renewable Energy 145 (January 2020): 1923–31. http://dx.doi.org/10.1016/j.renene.2019.07.110.
Cheng, Yu Jie, Chen Lu, Li Mei Wang, and Hong Mei Liu. "Fault Detection and Isolation for Hydraulic Servo System Based on Adaptive Threshold and SOM Neural Network." Applied Mechanics and Materials 764-765 (May 2015): 691–97. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.691.
Orlowska-Kowalska, T., and P. Sobanski. "Simple diagnostic technique of a single IGBT open-circuit faults for a SVM-VSI vector controlled induction motor drive." Bulletin of the Polish Academy of Sciences Technical Sciences 63, no. 1 (March 1, 2015): 281–88. http://dx.doi.org/10.1515/bpasts-2015-0032.
Gu, Yong Bin, Zhi Nong Jiang, and Qi Luo. "The Development of Automatic Tracking Filter for Data Acquisition in Fault Diagnosis System Based on FPGA." Applied Mechanics and Materials 614 (September 2014): 335–38. http://dx.doi.org/10.4028/www.scientific.net/amm.614.335.
Kim, K. "Fault diagnosis and prognosis for fuel supply systems in gas turbine engines." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 223, no. 3 (December 1, 2008): 757–68. http://dx.doi.org/10.1243/09544062jmes1064.
Hafaifa, Ahmed, Ferhat Laaouad, and Kouider Laroussi. "Fuzzy modeling and control for detection and isolation of surge in industrial centrifugal compressors." Journal of Automatic Control 19, no. 1 (2009): 19–26. http://dx.doi.org/10.2298/jac0901019h.
Calabrese, Francesca, Alberto Regattieri, Marco Bortolini, Francesco Gabriele Galizia, and Lorenzo Visentini. "Feature-Based Multi-Class Classification and Novelty Detection for Fault Diagnosis of Industrial Machinery." Applied Sciences 11, no. 20 (October 14, 2021): 9580. http://dx.doi.org/10.3390/app11209580.
Fentaye, Amare D., and Konstantinos G. Kyprianidis. "An intelligent data filtering and fault detection method for gas turbine engines." MATEC Web of Conferences 314 (2020): 02007. http://dx.doi.org/10.1051/matecconf/202031402007.
Yoon, Joung Taek, Byeng D. Youn, Minji Yoo, Yunhan Kim, and Sooho Kim. "Life-cycle maintenance cost analysis framework considering time-dependent false and missed alarms for fault diagnosis." Reliability Engineering & System Safety 184 (April 2019): 181–92. http://dx.doi.org/10.1016/j.ress.2018.06.006.
Jung, Sang Jin, Tanvir Alam Shifat, and Jang-Wook Hur. "A Hybrid Fault Diagnosis Approach Using FEM Optimized Sensor Positioning and Machine Learning." Processes 10, no. 10 (September 22, 2022): 1919. http://dx.doi.org/10.3390/pr10101919.
Shi, Wen Li, and Xue Min Zi. "Diagnosing Problems of Distribution-Free Multivariate Control Chart." Advanced Materials Research 971-973 (June 2014): 1602–6. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1602.
Ren, Xiaogeng, Chunwang Li, Xiaojun Ma, Fuxiang Chen, Haoyu Wang, Ashutosh Sharma, Gurjot Singh Gaba, and Mehedi Masud. "Design of Multi-Information Fusion Based Intelligent Electrical Fire Detection System for Green Buildings." Sustainability 13, no. 6 (March 19, 2021): 3405. http://dx.doi.org/10.3390/su13063405.
Gültekin, Özgür, Eyup Cinar, Kemal Özkan, and Ahmet Yazıcı. "Real-Time Fault Detection and Condition Monitoring for Industrial Autonomous Transfer Vehicles Utilizing Edge Artificial Intelligence." Sensors 22, no. 9 (April 22, 2022): 3208. http://dx.doi.org/10.3390/s22093208.
Ho, Siu Ki, Harish Chandra Nedunuri, Wamadeva Balachandran, Jamil Kanfoud, and Tat-Hean Gan. "Monitoring of Industrial Machine Using a Novel Blind Feature Extraction Approach." Applied Sciences 11, no. 13 (June 22, 2021): 5792. http://dx.doi.org/10.3390/app11135792.
Asokan, A., and D. Sivakumar. "Model based fault detection and diagnosis using structured residual approach in a multi-input multi-output system." Serbian Journal of Electrical Engineering 4, no. 2 (2007): 133–45. http://dx.doi.org/10.2298/sjee0702133a.
Makkawi, Khoder, Nourdine Ait-Tmazirte, Maan El Badaoui El Najjar та Nazih Moubayed. "Adaptive Diagnosis for Fault Tolerant Data Fusion Based on α-Rényi Divergence Strategy for Vehicle Localization". Entropy 23, № 4 (14 квітня 2021): 463. http://dx.doi.org/10.3390/e23040463.
Brito, Lucas Costa, Gian Antonio Susto, Jorge Nei Brito, and Marcus Antonio Viana Duarte. "Fault Detection of Bearing: An Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction." Informatics 8, no. 4 (November 25, 2021): 85. http://dx.doi.org/10.3390/informatics8040085.
Sim, Hoi Yin, Rahizar Ramli, and Ahmad Saifizul. "Assessment of characteristics of acoustic emission parameters for valve damage detection under varying compressor speeds." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 17 (April 14, 2020): 3521–40. http://dx.doi.org/10.1177/0954406220915232.
Miao, Di. "Design of power network fault diagnosis based on time series matching." Thermal Science 23, no. 5 Part A (2019): 2595–604. http://dx.doi.org/10.2298/tsci181126148m.
Li, Fang, Yongjun Min, and Ying Zhang. "A Novel Method for Lithium-Ion Battery Fault Diagnosis of Electric Vehicle Based on Real-Time Voltage." Wireless Communications and Mobile Computing 2022 (May 25, 2022): 1–17. http://dx.doi.org/10.1155/2022/7277446.
Poddar, Surojit, and Naresh Tandon. "Classification and detection of cavitation, particle contamination and oil starvation in journal bearing through machine learning approach using acoustic emission signals." Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 235, no. 10 (January 25, 2021): 2137–43. http://dx.doi.org/10.1177/1350650121991316.
Chang, Huang, and Chung. "Real-Time Evaluation of the Mechanical Performance and Residual Life of a Notching Mold using Embedded PVDF Sensors and SVM Criteria." Sensors 19, no. 23 (November 22, 2019): 5123. http://dx.doi.org/10.3390/s19235123.
Yin, Hong, Shuqiang Yang, Xiaoqian Zhu, Songchang Jin, and Xiang Wang. "Satellite Fault Diagnosis Using Support Vector Machines Based on a Hybrid Voting Mechanism." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/582042.
Rato, Tiago J., Pedro Delgado, Cristina Martins, and Marco S. Reis. "First Principles Statistical Process Monitoring of High-Dimensional Industrial Microelectronics Assembly Processes." Processes 8, no. 11 (November 23, 2020): 1520. http://dx.doi.org/10.3390/pr8111520.
Zang, Chongquan, Xinhua Wei, Lin Li, Cong Hu, and Hao Tong. "Research on Remote Fault Diagnosis System of Harvester." Journal of Physics: Conference Series 2417, no. 1 (December 1, 2022): 012023. http://dx.doi.org/10.1088/1742-6596/2417/1/012023.
Al-Shatri, Ali H., Ahmad Arshad, Oladokun Olagoke, and Bemgba B. Nyakuma. "Unknown input observer design for fault detection and diagnosis in a continuous stirred-tank reactor." E3S Web of Conferences 90 (2019): 02004. http://dx.doi.org/10.1051/e3sconf/20199002004.
Li, Xiang, Xin Min, Zeng Yang, Hongyu He, and Jinfeng Li. "Knowledge representation and intelligent fault diagnosis technology for power grid faults." E3S Web of Conferences 182 (2020): 02006. http://dx.doi.org/10.1051/e3sconf/202018202006.