A Virtual Reality Based System for Remote Maintenance of Rotating Machinery. - Moez Bellamine; Norihiro Abe; Kazuaki Tanaka; Peng Chen 002; Hirokazu Taki (EUC, 2004)

Rough Sets and Partially-Linearized Neural Network for Structural Fault Diagnosis of Rotating Machinery. - Peng Chen 002; Xinying Liang; Takayoshi Yamamoto (ISNN (2), 2004)

A remote diagnosis system for rotating machinery using virtual reality. - Moez Bellamine; Norihiro Abe; Kazuaki Tanaka; Peng Chen 002; Hirokazu Taki (RAM, 2004)

Grasping Control of Robot Hand Using Fuzzy Neural Network. - Peng Chen 002; Yoshizo Hasegawa; Mitushi Yamashita (ISNN (2), 2006)

Sequential Fuzzy Diagnosis for Condition Monitoring of Rolling Bearing Based on Neural Network. - Huaqing Wang; Peng Chen 002 (ISNN (2), 2008)

Diagnosis Method for Gear Equipment by Sequential Fuzzy Neural Network. - Xiong Zhou; Huaqing Wang; Peng Chen 002; Jingwei Song (ISNN (2), 2008)

Fault diagnosis and condition surveillance for plant rotating machinery using partially-linearized neural network. - Tetsuro Mitoma; Huaqing Wang; Peng Chen 002 (Comput. Ind. Eng., 2008)

Condition Diagnosis Method Based on Statistic Features and Information Divergence. - Huaqing Wang; Shuming Wang; Peng Chen 002 (FSKD (2), 2009)

Intelligent diagnosis method for a centrifugal pump using features of vibration signals. - Huaqing Wang; Peng Chen 002 (Neural Comput. Appl., 2009)

A Feature Extraction Method Based on Information Theory for Fault Diagnosis of Reciprocating Machinery. - Huaqing Wang; Peng Chen 002 (Sensors, 2009)

Intelligent Gearbox Diagnosis Methods Based on SVM, Wavelet Lifting and RBR. - Lixin Gao 002; Zhiqiang Ren; Wenliang Tang; Huaqing Wang; Peng Chen 002 (Sensors, 2010)

Structural Fault Diagnosis of Rotating Machinery Based on Distinctive Frequency Components and Support Vector Machines. - Hongtao Xue; Huaqing Wang; Liuyang Song; Peng Chen 002 (ICIC (2), 2011)

Intelligent diagnosis method for rolling element bearing faults using possibility theory and neural network. - Huaqing Wang; Peng Chen 002 (Comput. Ind. Eng., 2011)

Application of Composite Dictionary Multi-Atom Matching in Gear Fault Diagnosis. - Lingli Cui; Chenhui Kang; Huaqing Wang; Peng Chen 002 (Sensors, 2011)

Roller Bearing Fault Diagnosis Based on Nonlinear Redundant Lifting Wavelet Packet Analysis. - Lixin Gao 002; Zijing Yang; Ligang Cai; Huaqing Wang; Peng Chen 002 (Sensors, 2011)

Study and Application of Acoustic Emission Testing in Fault Diagnosis of Low-Speed Heavy-Duty Gears. - Lixin Gao 002; Fenlou Zai; Shanbin Su; Huaqing Wang; Peng Chen 002; Limei Liu (Sensors, 2011)

Intelligent Method for Diagnosing Structural Faults of Rotating Machinery Using Ant Colony Optimization. - Ke Li 038; Peng Chen 002 (Sensors, 2011)

Fault Diagnosis Method of Machinery Based on Fisher's Linear Discriminant and Possibility Theory. - Weijuan Jiang; Zhongxing Li; Ke Li 038; Hongtao Xue; Peng Chen 002 (ICIC (2), 2012)

An Intelligent Diagnosis Method for Rotating Machinery Using Least Squares Mapping and a Fuzzy Neural Network. - Ke Li 038; Peng Chen 002; Shiming Wang (Sensors, 2012)

Sequential Diagnosis Method for Rotating Machinery Using Support Vector Machines and Possibility Theory. - Hongtao Xue; Ke Li 038; Huaqing Wang; Peng Chen 002 (ICIC (1), 2013)

Automatic diagnosis method for structural fault of rotating machinery based on distinctive frequency components and support vector machines under varied operating conditions. - Hongtao Xue; Huaqing Wang; Peng Chen 002; Ke Li 038; Liuyang Song (Neurocomputing, 2013)

Sequential Fuzzy Diagnosis Method for Motor Roller Bearing in Variable Operating Conditions Based on Vibration Analysis. - Ke Li 038; Xueliang Ping; Huaqing Wang; Peng Chen 002; Yi Cao (Sensors, 2013)

Intelligent Condition Diagnosis Method Based on Adaptive Statistic Test Filter and Diagnostic Bayesian Network. - Ke Li 038; Qiuju Zhang; Kun Wang; Peng Chen 002; Huaqing Wang (Sensors, 2016)

A Sparsity-Promoted Decomposition for Compressed Fault Diagnosis of Roller Bearings. - Huaqing Wang; Yanliang Ke; Liuyang Song; Gang Tang; Peng Chen 002 (Sensors, 2016)

Intelligent Condition Diagnosis Method for Rotating Machinery Based on Probability Density and Discriminant Analyses. - Liuyang Song; Peng Chen 002; Huaqing Wang; Miki Kato (IEEE Signal Process. Lett., 2016)

Diagnosis of Compound Fault Using Sparsity Promoted-Based Sparse Component Analysis. - Yansong Hao; Liuyang Song; Yanliang Ke; Huaqing Wang; Peng Chen 002 (Sensors, 2017)

New Particle Filter Based on GA for Equipment Remaining Useful Life Prediction. - Ke Li 038; Jingjing Wu; Qiuju Zhang; Lei Su 002; Peng Chen 002 (Sensors, 2017)

Iterative RANSAC based adaptive birth intensity estimation in GM-PHD filter for multi-target tracking. - Jingjing Wu; Ke Li 038; Qiuju Zhang; Wei An; Yi Jiang; Xueliang Ping; Peng Chen 002 (Signal Process., 2017)

A Vibration Signal Filtering Method Based on KL Divergence Genetic Algorithm - with Application to Low Speed Bearing Fault Diagnosis. - Zhiqiang Liao; Peng Chen 002 (DSP, 2018)

A multi-objective robust optimization scheme for reducing optimization performance deterioration caused by fluctuation of decision parameters in chemical processes. - Zhiqiang Liao; Tai-fu Li; Peng Chen 002; Shilun Zuo (Comput. Chem. Eng., 2018)

An Effective Singular Value Selection and Bearing Fault Signal Filtering Diagnosis Method Based on False Nearest Neighbors and Statistical Information Criteria. - Zhiqiang Liao; Liuyang Song; Peng Chen 002; Zhaoyi Guan; Ziye Fang; Ke Li 038 (Sensors, 2018)

Step-by-Step Fuzzy Diagnosis Method for Equipment Based on Symptom Extraction and Trivalent Logic Fuzzy Diagnosis Theory. - Liuyang Song; Huaqing Wang; Peng Chen 002 (IEEE Trans. Fuzzy Syst., 2018)

Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery. - Liuyang Song; Huaqing Wang; Peng Chen 002 (IEEE Trans. Instrum. Meas., 2018)

A New Rotation Machinery Fault Diagnosis Method Based on Deep Structure and Sparse Least Squares Support Vector Machine. - Ke Li 038; Rui Zhang; Fucai Li; Lei Su 002; Huaqing Wang; Peng Chen 002 (IEEE Access, 2019)

Fuzzy Controller for Autonomous Vehicle Based on Rough Sets. - Hongtao Xue; Ziming Zhang; Meng Wu; Peng Chen 002 (IEEE Access, 2019)

A Precise Diagnosis Method of Structural Faults of Rotating Machinery based on Combination of Empirical Mode Decomposition, Sample Entropy, and Deep Belief Network. - Zhaoyi Guan; Zhiqiang Liao; Ke Li 038; Peng Chen 002 (Sensors, 2019)

Automatic Fault Detection and Isolation Method for Roller Bearing Using Hybrid-GA and Sequential Fuzzy Inference. - Yusuke Kobayashi 006; Liuyang Song; Masaru Tomita; Peng Chen 002 (Sensors, 2019)

Bearing Fault Diagnosis Based on State-Space Principal Component Tracking Filter Algorithm. - Tangshao Duan; Zhiqiang Liao; Taifu Li; Haihong Tang; Peng Chen 002 (IEEE Access, 2021)

Variable spectral segmentation empirical wavelet transform for noisy signal processing. - Kun Zhang 007; Ling Shi; Yue Hu; Peng Chen 002; Yonggang Xu (Digit. Signal Process., 2021)

A Novel Convolutional Neural Network for Low-Speed Structural Fault Diagnosis Under Different Operating Condition and Its Understanding via Visualization. - Haihong Tang; Zhiqiang Liao; Peng Chen 002; Dunwen Zuo; Sheng Yi (IEEE Trans. Instrum. Meas., 2021)

A Method for Extracting Fault Features Using Variable Multilevel Spectral Segmentation Framework and Harmonic Correlation Index. - Kun Zhang 007; Haihong Tang; Peng Chen 002; Yonggang Xu; Aijun Hu (IEEE Trans. Instrum. Meas., 2022)

In-Wheel Motor Fault Diagnosis Using Affinity Propagation Minimum-Distance Discriminant Projection and Weibull-Kernel-Function-Based SVDD. - Bingchen Liu; Hongtao Xue; Dianyong Ding; Ning Sun; Peng Chen 002 (Sensors, 2023)

Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter. - Haihong Tang; Yanmin Tang; Yuxiang Su; Wuwei Feng; Bing Wang; Peng Chen 002; Dunwen Zuo (Eng. Appl. Artif. Intell., 2024)

Towards machinery incremental fault diagnosis based on inverted transformer lifelong learning with learnable pruning mechanism. - Haihong Tang; Jia-wei Li; Wu-wei Feng; Peng Chen 002; Hong-tao Xue (Eng. Appl. Artif. Intell., 2025)