Scenario Generation for Wind Power Using Improved Generative Adversarial Networks von Jiang, Congmei, Mao, Yongfang, Chai, Yi, Yu, Mingbiao, Tao, Songbing

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Research on iterated Hilbert transform and its application in mechanical fault diagnosis von Qin, Yi, Qin, Shuren, Mao, Yongfang

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Fault diagnosis of sensor pulse signals based on improved energy fluctuation index and VMD von Liu, Yuhu, Chen, Xiaolong, Mao, Yongfang, Chai, Yi, Jiang, Yutao

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Compound Damages Detection for Rotors by the Coupled Piezoelectric Impedance von Mao, Yongfang, Qin, Yi, Zhang, Aibing

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Parameter sharing adversarial domain adaptation networks for fault transfer diagnosis of planetary gearboxes von Qin, Yi, Yao, Qunwang, Wang, Yi, Mao, Yongfang

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Faulty rolling bearing digital twin model and its application in fault diagnosis with imbalanced samples von Qin, Yi, Liu, Hongyu, Mao, Yongfang

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M-band flexible wavelet transform and its application to the fault diagnosis of planetary gear transmission systems von Qin, Yi, Mao, Yongfang, Tang, Baoping, Wang, Yi, Chen, Haizhou

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A lightweight dynamic dual-damped wavelet-based convolutional neural network for interpretable bearing fault diagnosis von Zhao, Lijuan, Mao, Yongfang, Qin, Yi

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A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction von Qin, Yi, Yang, Jiahong, Zhou, Jianghong, Pu, Huayan, Mao, Yongfang

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Weak transient fault feature extraction based on an optimized Morlet wavelet and kurtosis von Qin, Yi, Xing, Jianfeng, Mao, Yongfang

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Multilabel Decoupling Diagnosis for Compound Faults by Improved Deep Q-Network von Qin, Yi, Liu, Xiwen, Mao, Yongfang

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Inverse physics–informed neural networks for digital twin–based bearing fault diagnosis under imbalanced samples von Qin, Yi, Liu, Hongyu, Wang, Yi, Mao, Yongfang

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Two-dimensional Eulerian-exponential-law acoustic black hole structure for energy harvesting von Qin, Yi, Han, Gangxia, Mao, Yongfang

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Higher density wavelet frames with symmetric low-pass and band-pass filters von Qin, Yi, Wang, Jiaxu, Tang, Baoping, Mao, Yongfang

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Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application von Qian, Quan, Zhang, Bin, Li, Chuan, Mao, Yongfang, Qin, Yi

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Multicomponent decomposition by wavelet modulus maxima and synchronous detection von Qin, Yi, Mao, Yongfang, Tang, Baoping

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Day‐ahead renewable scenario forecasts based on generative adversarial networks von Jiang, Congmei, Mao, Yongfang, Chai, Yi, Yu, Mingbiao

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Adaptive fast chirplet transform and its application into rolling bearing fault diagnosis under time-varying speed condition von Qin, Yi, Yang, Rui, Shi, Haiyang, He, Biao, Mao, Yongfang

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Adaptive manifold partial domain adaptation for fault transfer diagnosis of rotating machinery von Qin, Yi, Qian, Quan, Wang, Zhengyi, Mao, Yongfang

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Large model for rotating machine fault diagnosis based on a dense connection network with depthwise separable convolution von Qin, Yi, Zhang, Taisheng, Qian, Quan, Mao, Yongfang

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