Early weak fault diagnosis of rolling element bearing based on resonance sparse decomposition and multi-objective information frequency band selection method von Wang, Hongchao, Du, Wenliao

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An improved quasi-zero stiffness isolator with two pairs of oblique springs to increase isolation frequency band von Zhao, Feng, Ji, Jinchen, Luo, Quantian, Cao, Shuqian, Chen, Lumin, Du, Wenliao

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An adaptive model for time-varying speed fault diagnosis under strong noise interference von Wang, Hongchao, Xue, Guoqing, Du, Wenliao

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Diagnosis of rolling element bearing based on multifractal detrended fluctuation analyses and continuous hidden markov model von Wang, Hongchao, Guo, Zhiqiang, Du, Wenliao

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Multi-source information deep fusion for rolling bearing fault diagnosis based on deep residual convolution neural network von Wang, HongChao, Du, WenLiao

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Weak fault detection of rolling element bearing combining robust EMD with adaptive maximum second-order cyclostationarity blind deconvolution von Jia, Lianhui, Wang, HongChao, Jiang, Lijie, Du, WenLiao

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Intelligent diagnosis of rolling bearing compound faults based on device state dictionary set sparse decomposition feature extraction–hidden Markov model von Wang, HongChao, Du, WenLiao

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Weak feature extraction of rolling element bearing based on self-adaptive blind de-convolution and enhanced envelope spectral von Wang, HongChao, Du, WenLiao, Li, Haiyi, Li, Zhiwei, Hu, Jiale

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LN-MRSCAE: A novel deep learning based denoising method for mechanical vibration signals von Du, Wenliao, Yang, Lingkai, Wang, Hongchao, Gong, Xiaoyun, Zhang, Lianying, Li, Chuan, Ji, Lianqing

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Weak fault feature extraction using adaptive chirp mode decomposition with sparsity index regrouping scheme and time-delayed feedback stochastic resonance von Zhang, XiaoDong, Wang, HongChao, Du, WenLiao

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Time-varying speed fault diagnosis based on dual-channel parallel multi-scale information von Wang, Hongchao, Xue, Guoqing, Yu, Li, Li, Simin, Guo, Zhiqiang, Du, Wenliao

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A double-layer optimization method for forging process parameters of hinge beam structure and size of intermediate billet von Xie, Guizhong, Zhang, Shixin, Li, Hao, Wang, Liangwen, Du, Wenliao, Zhao, Chongmao, Jia, Hangqi

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Fast Spectral Correlation Based on Sparse Representation Self-Learning Dictionary and Its Application in Fault Diagnosis of Rotating Machinery von Wang, HongChao, Du, WenLiao

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Feature extraction of latent fault components of rolling bearing based on self-learned sparse atomics and frequency band entropy von Wang, HongChao, Du, WenLiao

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Semi-supervised diagnosis method for coupling faults of key rotating components based on EEMD-KPCA under cross working conditions von Yuyan, Zhang, Yafeng, Zhang, Hao, Li, Wuyi, Ming, Wenliao, Du, Xiaoyu, Wen, Yongqi, Zhang, Lingdi, Yan

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Intelligent Diagnosis of Rotating Machinery Based on Optimized Adaptive Learning Dictionary and 1DCNN von Wang, Hongchao, Liu, Chuang, Du, Wenliao, Wang, Shuangyuan

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Time-Varying Degradation Model for Remaining Useful Life Prediction of Rolling Bearings under Variable Rotational Speed von Du, Wenliao, Hou, Xukun, Wang, Hongchao

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A Feature Extraction Algorithm for Rolling Bearing Faults and Its Application von Zhang, Zhen, Liu, Baoguo, Du, Wenliao, Feng, Wei

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A Sparse Underdetermined Blind Source Separation Method and Its Application in Fault Diagnosis of Rotating Machinery von Wang, HongChao, Du, WenLiao

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Study on the effect of curvature radius sudden change on mechanism characteristics for the constant-breadth two circular-arc cam mechanism with an inclined flat-faced follower von Wang, Liangwen, Wang, Zhuang, Wang, Ruolan, Zhang, Shizhao, Du, Wenliao, Xie, Guizhong, Zhang, Jihao

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