Research on rotor fault identification based on the integration of symbolic entropy and evidence theory by SHAN Song, CHEN HongMing, LIU JingXuan, DENG ShuaiQin, SU Yu

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FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION by REN Taizhu, FAN Jun, JIANG Xiaxin

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Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

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Distribution network fault comprehensive identification method based on voltage–ampere curves and deep ensemble learning by Jian Wang, Bo Zhang, Dong Yin, Jinxin Ouyang

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Fault Identification based on Improved Supervised Orthogonal Neighborhood Preserving Embedding by Ji Yunfeng, Feng Liyuan, Kuang Liang

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FAULT DIAGNOSIS OF PLANETARY GEAR BOX BASED ON SENSITIVE TRANSIERT IMPACT FEATURE EXTRACTION AND HIERARCHICAL EXTREME LEARNING MACHINE by QIN Bo, YIN Heng, WANG Zhuo, ZHAO WenJun, MA Tao, WANG JianGuo

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A Robust Multi-Modal Deep Learning-Based Fault Diagnosis Method for PV Systems by Shahabodin Afrasiabi, Sarah Allahmoradi, Mousa Afrasiabi, Xiaodong Liang, C. Y. Chung, Jamshid Aghaei

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Fault Diagnosis Analysis of Variable Working Condition Gearbox based on DWAE and GRUNN Combination Model by Chuanhui Liu, Xiaojing Chen, Xiaoxiao Hou, Qiang Zhu, Yong Dong

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Application of Enhanced EWT and Enhanced Dictionary Learning in Bearing Faults Identification by Wu Caixia, Li Fan, Liu Yubo

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