Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification von Yang, Jinsong, Peng, Yizhen, Xie, Jingsong, Wang, Pengxi

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A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem von Wang, Yu, Peng, Yizhen, Zi, Yanyang, Jin, Xiaohang, Tsui, Kwok-Leung

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Influence of rotation speed on motion accuracy of hydrostatic journal bearing von Zhang, Penghai, Peng, Yizhen

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Adaptive stochastic-filter-based failure prediction model for complex repairable systems under uncertainty conditions von Yizhen, Peng, Yu, Wang, Jingsong, Xie, Yanyang, Zi

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A New Concept of Instantaneous Whirling Speed for Cracked Rotor’s Axis Orbit von Xie, Jingsong, Chen, Jinglong, Peng, Yizhen, Zi, Yanyang

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EL net: Ensemble Learning in end-to-end learning von Peng, Yizhen

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The Instability of Angstrom-Scale Head-Disk Interface Induced by Electrostatic Force von Wang, Yu, Wei, Xiongfei, Liang, Xianghua, Yin, Shiyan, Zi, Yanyang, Peng, Yizhen, Tsui, Kwok-Leung

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Bearing degradation prediction based on deep latent variable state space model with differential transformation von Ran, Bi, Peng, Yizhen, Wang, Yu

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Optimising bearing degradation prediction: a bayesian vector autoregressive-assisted DeepAR model approach von Fan, Kangbo, Peng, Yizhen, Mo, Yutao

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Adaptive ensemble gaussian process regression-driven degradation prognosis with applications to bearing degradation von Hou, WanJun, Peng, Yizhen

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A novel bearing imbalance Fault-diagnosis method based on a Wasserstein conditional generative adversarial network von Peng, Yizhen, Wang, Yu, Shao, Yimin

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Non-Gaussian Deep Latent-Variable State-Space Model Fusing Domain Knowledge von Zheng, Yuxing, Bi, Ran, Peng, Yizhen

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A general time-varying Wiener process for degradation modeling and RUL estimation under three-source variability von Wang, Yu, Liu, Qiufa, Lu, Wenjian, Peng, Yizhen

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Regime Switching Model with Adaptive Adjustments for Degradation Prognosis von Peng, Yizhen, Bi, Ran, Wang, Yu

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Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life von Peng, Yizhen, Wang, Yu, Zi, Yanyang

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New Data Augmentation-Driven RUL Prognosis Approach for Cumulative Damage Model Using Incomplete Observations von Peng, Yizhen, Wang, Yu, Shao, Yimin

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A similarity-based remaining useful life prediction method using multimodal degradation features and adjusted cosine similarity von Kong, Chengcheng, Yu, Wennian, Zeng, Qiang, Chen, Zixu, Peng, Yizhen

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Weak fault detection and health degradation monitoring using customized standard multiwavelets von Yuan, Jing, Wang, Yu, Peng, Yizhen, Wei, Chenjun

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Adaptive Particle Filter-Based Approach for RUL Prediction Under Uncertain Varying Stresses With Application to HDD von Wang, Yu, Peng, Yizhen, Chow, Tommy W. S.

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Doubly Stochastic Cumulative Damage Model for RUL Prediction of HDDs in Uncertain Operating Environments von Peng, Yizhen, Wang, Yu, Wang, Guochao, Tsui, Kwok-Leung

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