Zeitschriftenartikel zum Thema „Fault decomposition“
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Gupta, Abhishek, und Ramesh Kumar Pachar. „A Hybrid Signal Processing Technique for Identification and Categorization of Faults in IEEE-9 Bus System“. Advanced Engineering Forum 49 (31.05.2023): 43–55. http://dx.doi.org/10.4028/p-jkw3p9.
Der volle Inhalt der QuelleManjunatha, G., und H. C. Chittappa. „Bearing Fault Classification using Empirical Mode Decomposition and Machine Learning Approach“. Journal of Mines, Metals and Fuels 70, Nr. 4 (20.06.2022): 214. http://dx.doi.org/10.18311/jmmf/2022/30060.
Der volle Inhalt der QuelleFang, Liang, und Hongchun Sun. „Study on EEMD-Based KICA and Its Application in Fault-Feature Extraction of Rotating Machinery“. Applied Sciences 8, Nr. 9 (23.08.2018): 1441. http://dx.doi.org/10.3390/app8091441.
Der volle Inhalt der QuelleZhang, Dingcheng, Dejie Yu und Xing Li. „Optimal resonance-based signal sparse decomposition and its application to fault diagnosis of rotating machinery“. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, Nr. 24 (26.11.2016): 4670–83. http://dx.doi.org/10.1177/0954406216671542.
Der volle Inhalt der QuelleTong, Shuiguang, Yidong Zhang, Jian Xu und Feiyun Cong. „Pattern recognition of rolling bearing fault under multiple conditions based on ensemble empirical mode decomposition and singular value decomposition“. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 232, Nr. 12 (26.06.2017): 2280–96. http://dx.doi.org/10.1177/0954406217715483.
Der volle Inhalt der QuelleJing, Liuming, Lei Xia, Tong Zhao und Jinghua Zhou. „An Improved Arc Fault Location Method of DC Distribution System Based on EMD-SVD Decomposition“. Applied Sciences 13, Nr. 16 (10.08.2023): 9132. http://dx.doi.org/10.3390/app13169132.
Der volle Inhalt der QuelleHu, Pan, Cunsheng Zhao, Jicheng Huang und Tingxin Song. „Intelligent and Small Samples Gear Fault Detection Based on Wavelet Analysis and Improved CNN“. Processes 11, Nr. 10 (13.10.2023): 2969. http://dx.doi.org/10.3390/pr11102969.
Der volle Inhalt der QuelleLiao, Zhiqiang, Xuewei Song, Baozhu Jia und Peng Chen. „Automatic Bearing Fault Feature Extraction Method via PFDIC and DBAS“. Mathematical Problems in Engineering 2021 (25.05.2021): 1–13. http://dx.doi.org/10.1155/2021/6655081.
Der volle Inhalt der QuelleDou, Chun Hong. „Fault Feature Extraction for Gearboxes Using Empirical Mode Decomposition“. Advanced Materials Research 383-390 (November 2011): 1376–80. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.1376.
Der volle Inhalt der QuelleZhao, Nanyang, Zhiwei Mao, Donghai Wei, Haipeng Zhao, Jinjie Zhang und Zhinong Jiang. „Fault Diagnosis of Diesel Engine Valve Clearance Based on Variational Mode Decomposition and Random Forest“. Applied Sciences 10, Nr. 3 (07.02.2020): 1124. http://dx.doi.org/10.3390/app10031124.
Der volle Inhalt der QuelleAn, Xueli, Hongtao Zeng und Chaoshun Li. „Envelope demodulation based on variational mode decomposition for gear fault diagnosis“. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 231, Nr. 4 (17.04.2016): 864–70. http://dx.doi.org/10.1177/0954408916644271.
Der volle Inhalt der QuelleWang, Xiaoqian, Dali Sheng, Jinlian Deng, Wei Zhang, Jie Cai, Weisheng Zhao und Jiawei Xiang. „Kernel Regression Residual Decomposition Method to Detect Rolling Element Bearing Faults“. Mathematical Problems in Engineering 2021 (28.04.2021): 1–10. http://dx.doi.org/10.1155/2021/5523098.
Der volle Inhalt der QuelleAo, HungLinh, Junsheng Cheng, Kenli Li und Tung Khac Truong. „A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM“. Shock and Vibration 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/825825.
Der volle Inhalt der QuelleGan, Weiwei, Xueming Li, Dong Wei, Rongjun Ding, Kan Liu und Zhiwen Chen. „Real-Time Multi-Sensor Joint Fault Diagnosis Method for Permanent Magnet Traction Drive Systems Based on Structural Analysis“. Sensors 24, Nr. 9 (30.04.2024): 2878. http://dx.doi.org/10.3390/s24092878.
Der volle Inhalt der QuelleFu, Yanfang, Yu Ji, Gong Meng, Wei Chen und Xiaojun Bai. „Three-Phase Inverter Fault Diagnosis Based on an Improved Deep Residual Network“. Electronics 12, Nr. 16 (15.08.2023): 3460. http://dx.doi.org/10.3390/electronics12163460.
Der volle Inhalt der QuelleLiu, Xinyue, Yan Yan, Kaibo Hu, Shan Zhang, Hongjie Li, Zhen Zhang und Tingna Shi. „Fault Diagnosis of Rotor Broken Bar in Induction Motor Based on Successive Variational Mode Decomposition“. Energies 15, Nr. 3 (07.02.2022): 1196. http://dx.doi.org/10.3390/en15031196.
Der volle Inhalt der QuelleChen, Shengbin. „Line fault location of flexible DC distribution network based on adaptive noise empirical mode decomposition“. Journal of Physics: Conference Series 2683, Nr. 1 (01.01.2024): 012037. http://dx.doi.org/10.1088/1742-6596/2683/1/012037.
Der volle Inhalt der QuelleLi, Hui. „Fault Diagnosis of Gear Wear Based on Local Mean Decomposition“. Advanced Materials Research 459 (Januar 2012): 298–302. http://dx.doi.org/10.4028/www.scientific.net/amr.459.298.
Der volle Inhalt der QuelleAn, Xueli, und Luoping Pan. „Bearing fault diagnosis of a wind turbine based on variational mode decomposition and permutation entropy“. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 231, Nr. 2 (01.02.2017): 200–206. http://dx.doi.org/10.1177/1748006x17693492.
Der volle Inhalt der QuelleLi, Hui. „Local Mean Decomposition Based Bearing Fault Detection“. Advanced Materials Research 490-495 (März 2012): 360–64. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.360.
Der volle Inhalt der QuelleZhang, Decai, Xueping Ren und Hanyue Zuo. „Compound Fault Diagnosis for Gearbox Based Using of Euclidean Matrix Sample Entropy and One-Dimensional Convolutional Neural Network“. Shock and Vibration 2021 (10.04.2021): 1–26. http://dx.doi.org/10.1155/2021/6669006.
Der volle Inhalt der QuelleWang, HongChao, und WenLiao Du. „Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model“. Advances in Mechanical Engineering 12, Nr. 6 (Juni 2020): 168781402093046. http://dx.doi.org/10.1177/1687814020930469.
Der volle Inhalt der QuelleCui, Hongyu, Yuanying Qiao, Yumei Yin und Ming Hong. „An investigation on early bearing fault diagnosis based on wavelet transform and sparse component analysis“. Structural Health Monitoring 16, Nr. 1 (03.08.2016): 39–49. http://dx.doi.org/10.1177/1475921716661310.
Der volle Inhalt der QuelleAkolkar, S. M., und H. R. Jariwala. „Highly efficient relay triggering circuit for fault detection during Power swings“. Journal of Applied Research and Technology 22, Nr. 1 (29.02.2024): 52–58. http://dx.doi.org/10.22201/icat.24486736e.2024.22.1.2120.
Der volle Inhalt der QuelleChen, Yong Hui, Xue Liang Zhang und Hai Hong Li. „Feature Extraction of Nonstationarity Vibration Signal Based on Wavelet Decomposition“. Applied Mechanics and Materials 220-223 (November 2012): 2228–34. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2228.
Der volle Inhalt der QuelleShi, Luojie, Juan Wen, Baisong Pan, Yongyong Xiang, Qi Zhang und Congkai Lin. „Dynamic Characteristics of a Gear System with Double-Teeth Spalling Fault and Its Fault Feature Analysis“. Applied Sciences 10, Nr. 20 (11.10.2020): 7058. http://dx.doi.org/10.3390/app10207058.
Der volle Inhalt der QuelleKedadouche, Mourad, und Zhaoheng Liu. „Fault feature extraction and classification based on WPT and SVD: Application to element bearings with artificially created faults under variable conditions“. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, Nr. 22 (10.08.2016): 4186–96. http://dx.doi.org/10.1177/0954406216663782.
Der volle Inhalt der QuelleZhu, Wenwei, Chenyang Fan, Chenghao Xu, Hantuo Dong, Jingen Guo, Aiwu Liang und Long Zhao. „Anchor Fault Identification Method for High-Voltage DC Submarine Cable Based on VMD-Volterra-SVM“. Energies 16, Nr. 7 (27.03.2023): 3053. http://dx.doi.org/10.3390/en16073053.
Der volle Inhalt der QuelleTürkmenoğlu, Veli, Mustafa Aktaş, Serkan Karataş und Halil İbrahim Okumuş. „Soft Set-Based Switching Faults Decision Making in DTC Induction Motor Drives“. Journal of Circuits, Systems and Computers 24, Nr. 02 (27.11.2014): 1550021. http://dx.doi.org/10.1142/s0218126615500218.
Der volle Inhalt der QuelleGao, Shuzhi, Ning Zhao, Xuefeng Chen, Zhiming Pei und Yimin Zhang. „A new approach to adaptive VMD based on SSA for rolling bearing fault feature extraction“. Measurement Science and Technology 35, Nr. 3 (08.12.2023): 036102. http://dx.doi.org/10.1088/1361-6501/ad11cc.
Der volle Inhalt der QuelleLi, Quanfu, Yuxuan Zhou, Gang Tang, Chunlin Xin und Tao Zhang. „Early Weak Fault Diagnosis of Rolling Bearing Based on Multilayer Reconstruction Filter“. Shock and Vibration 2021 (02.03.2021): 1–15. http://dx.doi.org/10.1155/2021/6690966.
Der volle Inhalt der QuelleTadeusiewicz, Michal, und Stanislaw Halgas. „A method for fault diagnosis of nonlinear circuits“. COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, Nr. 6 (24.10.2019): 1770–81. http://dx.doi.org/10.1108/compel-03-2019-0101.
Der volle Inhalt der QuelleCheng, Xiaohan, Hui Yang, Long Yuan, Yuxin Lu, Congjie Cao und Guangqiang Wu. „Fault Feature Enhanced Extraction and Fault Diagnosis Method of Vibrating Screen Bearings“. Machines 10, Nr. 11 (01.11.2022): 1007. http://dx.doi.org/10.3390/machines10111007.
Der volle Inhalt der QuelleYu, Ming, Chenyu Xiao, Hai Wang, Wuhua Jiang und Rensheng Zhu. „Adaptive Cuckoo Search-Extreme Learning Machine Based Prognosis for Electric Scooter System under Intermittent Fault“. Actuators 10, Nr. 11 (22.10.2021): 283. http://dx.doi.org/10.3390/act10110283.
Der volle Inhalt der QuelleBi, Xiaobo, Jiansheng Lin, Daijie Tang, Fengrong Bi, Xin Li, Xiao Yang, Teng Ma und Pengfei Shen. „VMD-KFCM Algorithm for the Fault Diagnosis of Diesel Engine Vibration Signals“. Energies 13, Nr. 1 (02.01.2020): 228. http://dx.doi.org/10.3390/en13010228.
Der volle Inhalt der QuelleZhong, Xianyou, Liu He, Gang Wan und Yang Zhao. „Fault diagnosis for rolling bearings based on generalised dispersive mode decomposition and accugram“. Insight - Non-Destructive Testing and Condition Monitoring 66, Nr. 2 (01.02.2024): 74–81. http://dx.doi.org/10.1784/insi.2024.66.2.74.
Der volle Inhalt der QuelleCamarena-Martinez, David, Jose R. Huerta-Rosales, Juan P. Amezquita-Sanchez, David Granados-Lieberman, Juan C. Olivares-Galvan und Martin Valtierra-Rodriguez. „Variational Mode Decomposition-Based Processing for Detection of Short-Circuited Turns in Transformers Using Vibration Signals and Machine Learning“. Electronics 13, Nr. 7 (26.03.2024): 1215. http://dx.doi.org/10.3390/electronics13071215.
Der volle Inhalt der QuelleCui, Lingli, Na Wu, Daiyi Mo, Huaqing Wang und Peng Chen. „CQFB and PBP in Diagnosis of Local Gear Fault“. Advances in Mechanical Engineering 6 (01.01.2014): 670725. http://dx.doi.org/10.1155/2014/670725.
Der volle Inhalt der QuelleMishra, Saswati, Shubhrata Gupta, Anamika Yadav und Almoataz Y. Abdelaziz. „Traveling Wave-Based Fault Localization in FACTS-Compensated Transmission Line via Signal Decomposition Techniques“. Energies 16, Nr. 4 (14.02.2023): 1871. http://dx.doi.org/10.3390/en16041871.
Der volle Inhalt der QuelleLin, Shih-Lin. „Application Combining VMD and ResNet101 in Intelligent Diagnosis of Motor Faults“. Sensors 21, Nr. 18 (10.09.2021): 6065. http://dx.doi.org/10.3390/s21186065.
Der volle Inhalt der QuelleFei, Chun Guo, und Bai Li Su. „Overhead Line Fault Location Using Wavelet Packet Decomposition and Support Vector Regression“. Advanced Materials Research 516-517 (Mai 2012): 1396–99. http://dx.doi.org/10.4028/www.scientific.net/amr.516-517.1396.
Der volle Inhalt der QuelleLiu, Weixin, Yujia Wang, Baoji Yin, Xing Liu und Mingjun Zhang. „Thruster fault identification based on fractal feature and multiresolution wavelet decomposition for autonomous underwater vehicle“. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, Nr. 13 (21.02.2016): 2528–39. http://dx.doi.org/10.1177/0954406216632280.
Der volle Inhalt der QuelleYao, Gang, Yunce Wang, Mohamed Benbouzid und Mourad Ait-Ahmed. „A Hybrid Gearbox Fault Diagnosis Method Based on GWO-VMD and DE-KELM“. Applied Sciences 11, Nr. 11 (28.05.2021): 4996. http://dx.doi.org/10.3390/app11114996.
Der volle Inhalt der QuelleLu, Xinmiao, Zihan Lu, Qiong Wu, Jiaxu Wang, Cunfang Yang, Shuai Sun, Dan Shao und Kaiyi Liu. „Soft Fault Diagnosis of Analog Circuit Based on EEMD and Improved MF-DFA“. Electronics 12, Nr. 1 (27.12.2022): 114. http://dx.doi.org/10.3390/electronics12010114.
Der volle Inhalt der QuelleZhang, Xibo, Jianguo Ying, Junhua Wang, Rongwei Zhang, Zhou Hong und Haibo Bi. „Design of fault degree diagnosis algorithm for circuit breaker spring based on fuzzy clustering“. Journal of Physics: Conference Series 2724, Nr. 1 (01.03.2024): 012009. http://dx.doi.org/10.1088/1742-6596/2724/1/012009.
Der volle Inhalt der QuelleLiu, Yan Li, De Xiang Zhang und Ming Wei Ji. „Gearbox Fault Diagnosis Based on Empirical Mode Decomposition and Hilbert Transform“. Advanced Materials Research 542-543 (Juni 2012): 238–41. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.238.
Der volle Inhalt der QuelleWu, Qin, Jun Niu und Xinglian Wang. „Fault Feature Extraction Method of Ball Screw Based on Singular Value Decomposition, CEEMDAN and 1.5DTES“. Actuators 12, Nr. 11 (07.11.2023): 416. http://dx.doi.org/10.3390/act12110416.
Der volle Inhalt der QuelleLi, Zhen Tao, und Hui Li. „EMD and Envelope Spectrum Based Bearing Fault Detection“. Advanced Materials Research 459 (Januar 2012): 233–37. http://dx.doi.org/10.4028/www.scientific.net/amr.459.233.
Der volle Inhalt der QuelleFang, Xing, Hongxin Zhang, Danzhi Wang, Hao Yan, Fan Fan und Lei Shu. „Algebraic Persistent Fault Analysis of SKINNY_64 Based on S_Box Decomposition“. Entropy 24, Nr. 11 (22.10.2022): 1508. http://dx.doi.org/10.3390/e24111508.
Der volle Inhalt der QuelleZhao, Qiao, Zengping Wang, Guomin Li, Xuanjun Liu und Yuxuan Wang. „A Fault Section Location Method for Distribution Networks Based on Divide-and-Conquer“. Applied Sciences 13, Nr. 10 (12.05.2023): 5974. http://dx.doi.org/10.3390/app13105974.
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