A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis di Xingxing Jiang, Shunming Li, Chun Cheng

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Dynamic Analysis of a High-Static-Low-Dynamic-Stiffness Vibration Isolator with Time-Delayed Feedback Control di Yong Wang, Shunming Li, Chun Cheng, Xingxing Jiang

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Adaptive Cross-Domain Feature Extraction Method and Its Application on Machinery Intelligent Fault Diagnosis Under Different Working Conditions di Zenghui An, Shunming Li, Xingxing Jiang, Yu Xin, Jinrui Wang

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A Fast Signal Estimation Method Based on Probability Density Functions for Fault Feature Extraction of Rolling Bearings di Shijun Li, Weiguo Huang, Juanjuan Shi, Xingxing Jiang, Zhongkui Zhu

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A Coarse TF Ridge-Guided Multi-Band Feature Extraction Method for Bearing Fault Diagnosis Under Varying Speed Conditions di Wenjun Guo, Xingxing Jiang, Ning Li, Juanjuan Shi, Zhongkui Zhu

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An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis di Haien Wang, Xingxing Jiang, Wenjun Guo, Juanjuan Shi, Zhongkui Zhu

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An Optimization Tendency Guiding Mode Decomposition Method for Bearing Fault Detection Under Varying Speed Conditions di Xingxing Jiang, Wenjun Guo, Guifu Du, Juanjuan Shi, Zhongkui Zhu

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Improved Bi-Angle Aerosol Optical Depth Retrieval Algorithm from AHI Data Based on Particle Swarm Optimization di Chunlin Jin, Yong Xue, Xingxing Jiang, Yuxin Sun, Shuhui Wu

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Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds di Juanjuan Shi, Weiguo Huang, Changqing Shen, Xingxing Jiang, Zhongkui Zhu

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Retrieval of High-Resolution Aerosol Optical Depth for Urban Air Pollution Monitoring di Rui Bai, Yong Xue, Xingxing Jiang, Chunlin Jin, Yuxin Sun

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Deep Adaptive Adversarial Network-Based Method for Mechanical Fault Diagnosis under Different Working Conditions di Jinrui Wang, Shanshan Ji, Baokun Han, Huaiqian Bao, Xingxing Jiang

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Green and Efficient Extraction of Resveratrol from Peanut Roots Using Deep Eutectic Solvents di Jingnan Chen, Xingxing Jiang, Guolong Yang, Yanlan Bi, Wei Liu

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A Novel Unsupervised Learning Method Based on Cross-Normalization for Machinery Fault Diagnosis di Zongzhen Zhang, Shunming Li, Jiantao Lu, Jinrui Wang, Xingxing Jiang

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Retrieval and validation of long-term aerosol optical depth from AVHRR data over China di Chunlin Jin, Yong Xue, Xingxing Jiang, Shuhui Wu, Yuxin Sun

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Dynamic Simulation Model-Driven Fault Diagnosis Method for Bearing under Missing Fault-Type Samples di Junqing Ma, Xingxing Jiang, Baokun Han, Jinrui Wang, Zongzhen Zhang, Huaiqian Bao

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Estimation of PM_2.5 and PM₁₀ Mass Concentrations in Beijing Using Gaofen-1 Data at 100 m Resolution di Shuhui Wu, Yuxin Sun, Rui Bai, Xingxing Jiang, Chunlin Jin, Yong Xue

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Bimetallic Cobalt–Copper Nanoparticle-Decorated Hollow Carbon Nanofibers for Efficient CO2 Electroreduction di Congyi He, Siyu Wang, Xingxing Jiang, Qi Hu, Hengpan Yang, Chuanxin He

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An Intelligent Deep Feature Learning Method With Improved Activation Functions for Machine Fault Diagnosis di Wei You, Changqing Shen, Dong Wang, Liang Chen, Xingxing Jiang, Zhongkui Zhu

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A hybrid technique based on convolutional neural network and support vector regression for intelligent diagnosis of rotating machinery di Wei You, Changqing Shen, Xiaojie Guo, Xingxing Jiang, Juanjuan Shi, Zhongkui Zhu

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Improved Hierarchical Adaptive Deep Belief Network for Bearing Fault Diagnosis di Changqing Shen, Jiaqi Xie, Dong Wang, Xingxing Jiang, Juanjuan Shi, Zhongkui Zhu

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