A Quantum Q-Learning Fault Diagnosis Method for Intelligent Manufacturing Equipment by Yi Chen, Kai Deng, Xuelin Du, Zichao Chang, Tong Wan

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Data-driven fault identification method of RV reducer used in industrial robot by Dongdong Guo, Yan Zhang, Xiangqun Chen, Hao Peng, Zongrui Jiang, Haitao Ma, Wenbo Du

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Fault location method for multi-section hybrid lines considers velocity uncertainty by Liwei Xie, Youpeng Wang, Yang Xiao, Xiangjun Zeng, Yan Mo, Zhuo Long

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Application Study of Distributed Grounding Line Selection Method Based on GOOSE Communication by Hongshan CHEN, Jiang YU, Miao JIANG, Yong SHI, Wei HOU

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Fault location method of wind turbine transmission chain system based on lumped parameter thermal network model by Shiyu Lin, Hongshan Zhao, Chengyan Sun, Weixin Yang, Xibei Li

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Analytical Analysis of the Mechanism and Mitigation Methods of Transient Overvoltage in Direct-Drive Wind Turbine Generators Connected to Weak Power System by Xu Tian, Shengtao Wu, Luran Wei, Lixin Zhang, Nan Wang, Quan Zheng

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Research on fault location and state evaluation method of diagnostic function for power cable insulation defects based on the impedance spectrum by SI Jie, CHEN Zhi, ZHAO Jian, ZHOU Yuxiao

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Fault location method for island and reef distributed power supply system based on immune model and improved immune algorithm by Weibo LI, Maojie ZHANG, Chenghu XU, Hao ZHANG, Hualiang FANG

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Failure anticipation scheme in distribution systems based on wave distortions and Montecarlo methods by Rishabh Bhandia, Jose J. Chavez, Miloš Cvetković, Pedro M. García-Vite, Marjan Popov, Peter Palensky

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Analysis and Non-Invasive Diagnostics of Bearing Faults in Three-Phase Induction Motors by Juan Barreno, Fernando Bento, Antonio J. Marques Cardoso

“…This hybridization allowed the benefits of both methods to be combined: (i) proper evaluation of time-varying phenomena and (ii) the ability to distinguish the type of fault affecting the bearing. …”
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Analysis of seismicity in the Haicheng-Xiuyan region based on dense array data and deep learning methodsKey points by Zemin Liu, Weitao Wang, Lu Li, Zihao Li, Ziye Yu, Songyong Yuan, Lanshu Bai

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Insights and Recommendations for the Assessment and Design of Fault Diagnosis Methods Applied to Modern Distribution Systems by Talita M. O. A. Cunha, Gabriela N. Lopes, Leonardo S. Lessa, Moises J. B. B. Davi, Mario Oleskovicz, Jose C. M. Vieira

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The Deep Structure of the Kimberlite Pipe Volchya in the Arkhangelsk Diamond Province and Controlling Faults Based on Passive Seismic and Radiological Methods (Northwest Russia) by Konstantin Danilov, Evgeny Yakovlev, Andrey Puchkov, Vladimir Bykov, Alexander Katorin

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A Novel Method for Intelligent Fault Diagnosis of Bearing Based on Capsule Neural Network by Zhijian Wang, Likang Zheng, Wenhua Du, Wenan Cai, Jie Zhou, Jingtai Wang, Xiaofeng Han, Gaofeng He

“…In the era of big data, data-driven methods mainly based on deep learning have been widely used in the field of intelligent fault diagnosis. …”
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Research on Demagnetization Fault Diagnosis Method of Mine Cutting Permanent Magnet Synchronous Motor by Guo Ye, Yanbin Lu, Jinyong Ju, Lianchao Sheng

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Based on PCA and SSA-LightGBM oil-immersed transformer fault diagnosis method. by Jizhong Wang, Jianfei Chi, Yeqiang Ding, Haiyan Yao, Qiang Guo

“…A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. …”
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The Method of Quantitative Trend Diagnosis of Rolling Bearing Fault Based on Protrugram and Lempel–Ziv by Jianxi Du, Lingli Cui, Jianyu Zhang, Jin Li, Jinfeng Huang

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Partly Duffing Oscillator Stochastic Resonance Method and Its Application on Mechanical Fault Diagnosis by Jian Dang, Rong Jia, Xingqi Luo, Hua Wu, Diyi Chen

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A novel method for power transformer fault diagnosis considering imbalanced data samples by Jun Chen, Yong Wang, Lingming Kong, Yilong Chen, Mianzhi Chen, Qian Cai, Gehao Sheng

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Research on the Bearing Weak Fault Signal Diagnosis Method Based on IGWO-MCKD-ROMP by Zhou Juanli, Wang Chengyu, Zhao Shuanfeng

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