Peng Chen

Orcid: 0000-0001-6276-1356

Affiliations:
  • Mie University, Faculty of Bioresources, Tsu, Japan
  • Kyushu University, Fukuoka, Japan (PhD)


According to our database1, Peng Chen authored at least 43 papers between 2004 and 2024.

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Bibliography

2024
Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter.
Eng. Appl. Artif. Intell., January, 2024

2023
In-Wheel Motor Fault Diagnosis Using Affinity Propagation Minimum-Distance Discriminant Projection and Weibull-Kernel-Function-Based SVDD.
Sensors, 2023

2022
A Method for Extracting Fault Features Using Variable Multilevel Spectral Segmentation Framework and Harmonic Correlation Index.
IEEE Trans. Instrum. Meas., 2022

2021
A Novel Convolutional Neural Network for Low-Speed Structural Fault Diagnosis Under Different Operating Condition and Its Understanding via Visualization.
IEEE Trans. Instrum. Meas., 2021

Variable spectral segmentation empirical wavelet transform for noisy signal processing.
Digit. Signal Process., 2021

Bearing Fault Diagnosis Based on State-Space Principal Component Tracking Filter Algorithm.
IEEE Access, 2021

2019
Automatic Fault Detection and Isolation Method for Roller Bearing Using Hybrid-GA and Sequential Fuzzy Inference.
Sensors, 2019

A Precise Diagnosis Method of Structural Faults of Rotating Machinery based on Combination of Empirical Mode Decomposition, Sample Entropy, and Deep Belief Network.
Sensors, 2019

Fuzzy Controller for Autonomous Vehicle Based on Rough Sets.
IEEE Access, 2019

A New Rotation Machinery Fault Diagnosis Method Based on Deep Structure and Sparse Least Squares Support Vector Machine.
IEEE Access, 2019

2018
Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery.
IEEE Trans. Instrum. Meas., 2018

Step-by-Step Fuzzy Diagnosis Method for Equipment Based on Symptom Extraction and Trivalent Logic Fuzzy Diagnosis Theory.
IEEE Trans. Fuzzy Syst., 2018

An Effective Singular Value Selection and Bearing Fault Signal Filtering Diagnosis Method Based on False Nearest Neighbors and Statistical Information Criteria.
Sensors, 2018

A multi-objective robust optimization scheme for reducing optimization performance deterioration caused by fluctuation of decision parameters in chemical processes.
Comput. Chem. Eng., 2018

A Vibration Signal Filtering Method Based on KL Divergence Genetic Algorithm - with Application to Low Speed Bearing Fault Diagnosis.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

2017
Iterative RANSAC based adaptive birth intensity estimation in GM-PHD filter for multi-target tracking.
Signal Process., 2017

New Particle Filter Based on GA for Equipment Remaining Useful Life Prediction.
Sensors, 2017

Diagnosis of Compound Fault Using Sparsity Promoted-Based Sparse Component Analysis.
Sensors, 2017

2016
Intelligent Condition Diagnosis Method for Rotating Machinery Based on Probability Density and Discriminant Analyses.
IEEE Signal Process. Lett., 2016

A Sparsity-Promoted Decomposition for Compressed Fault Diagnosis of Roller Bearings.
Sensors, 2016

Intelligent Condition Diagnosis Method Based on Adaptive Statistic Test Filter and Diagnostic Bayesian Network.
Sensors, 2016

2013
Sequential Fuzzy Diagnosis Method for Motor Roller Bearing in Variable Operating Conditions Based on Vibration Analysis.
Sensors, 2013

Automatic diagnosis method for structural fault of rotating machinery based on distinctive frequency components and support vector machines under varied operating conditions.
Neurocomputing, 2013

Sequential Diagnosis Method for Rotating Machinery Using Support Vector Machines and Possibility Theory.
Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013

2012
An Intelligent Diagnosis Method for Rotating Machinery Using Least Squares Mapping and a Fuzzy Neural Network.
Sensors, 2012

Fault Diagnosis Method of Machinery Based on Fisher's Linear Discriminant and Possibility Theory.
Proceedings of the Intelligent Computing Theories and Applications, 2012

2011
Intelligent Method for Diagnosing Structural Faults of Rotating Machinery Using Ant Colony Optimization.
Sensors, 2011

Study and Application of Acoustic Emission Testing in Fault Diagnosis of Low-Speed Heavy-Duty Gears.
Sensors, 2011

Roller Bearing Fault Diagnosis Based on Nonlinear Redundant Lifting Wavelet Packet Analysis.
Sensors, 2011

Application of Composite Dictionary Multi-Atom Matching in Gear Fault Diagnosis.
Sensors, 2011

Intelligent diagnosis method for rolling element bearing faults using possibility theory and neural network.
Comput. Ind. Eng., 2011

Structural Fault Diagnosis of Rotating Machinery Based on Distinctive Frequency Components and Support Vector Machines.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

2010
Intelligent Gearbox Diagnosis Methods Based on SVM, Wavelet Lifting and RBR.
Sensors, 2010

2009
A Feature Extraction Method Based on Information Theory for Fault Diagnosis of Reciprocating Machinery.
Sensors, 2009

Intelligent diagnosis method for a centrifugal pump using features of vibration signals.
Neural Comput. Appl., 2009

Condition Diagnosis Method Based on Statistic Features and Information Divergence.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008
Fault diagnosis and condition surveillance for plant rotating machinery using partially-linearized neural network.
Comput. Ind. Eng., 2008

Diagnosis Method for Gear Equipment by Sequential Fuzzy Neural Network.
Proceedings of the Advances in Neural Networks, 2008

Sequential Fuzzy Diagnosis for Condition Monitoring of Rolling Bearing Based on Neural Network.
Proceedings of the Advances in Neural Networks, 2008

2006
Grasping Control of Robot Hand Using Fuzzy Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2004
A remote diagnosis system for rotating machinery using virtual reality.
Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, 2004

Rough Sets and Partially-Linearized Neural Network for Structural Fault Diagnosis of Rotating Machinery.
Proceedings of the Advances in Neural Networks, 2004

A Virtual Reality Based System for Remote Maintenance of Rotating Machinery.
Proceedings of the Embedded and Ubiquitous Computing, 2004


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