A New Method Based on Time-Varying Filtering Intrinsic Time-Scale Decomposition and General Refined Composite Multiscale Sample Entropy for Rolling-Bearing Feature Extraction. - Jianpeng Ma; Song Han; Chengwei Li; Liwei Zhan; Guang-Zhu Zhang 001 (Entropy, 2021)

Rolling Bearing Fault Diagnosis Based on Refined Composite Multi-Scale Approximate Entropy and Optimized Probabilistic Neural Network. - Jianpeng Ma; Zhenghui Li; Chengwei Li; Liwei Zhan; Guang-Zhu Zhang 001 (Entropy, 2021)

An Enhanced Intrinsic Time-Scale Decomposition Method Based on Adaptive Lévy Noise and Its Application in Bearing Fault Diagnosis. - Jianpeng Ma; Shi Zhuo; Chengwei Li; Liwei Zhan; Guang-Zhu Zhang 001 (Symmetry, 2021)

Study on Noncontact Aviation Bearing Faults and Speed Monitoring. - Jianpeng Ma; Shi Zhuo; Chengwei Li; Liwei Zhan; Guang-Zhu Zhang 001 (IEEE Trans. Instrum. Meas., 2021)

Adaptive Stochastic Resonance-Based Processing of Weak Magnetic Slippage Signals of Bearings. - Jianpeng Ma; Chengwei Li; Guangzhu Zhang 001 (Entropy, 2022)

Rolling Bearing Fault Diagnosis Based on Deep Learning and Autoencoder Information Fusion. - Jianpeng Ma; Chengwei Li; Guangzhu Zhang 001 (Symmetry, 2022)