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ORCIDPeng Chen 0002
Person information
- affiliation: Mie University, Faculty of Bioresources, Tsu, Japan
- affiliation (PhD): Kyushu University, Fukuoka, Japan
Other persons with the same name
- Peng Chen — disambiguation page
- Peng Chen 0001
![[0000-0002-5810-8159]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5810-8159")
— Anhui University, Institute of Health Sciences, Hefei, China (and 2 more) - Peng Chen 0003 — Central South University, Changsha
- Peng Chen 0004 — University of Science and Technology of China
- Peng Chen 0005 — East China Normal University
- Peng Chen 0006 — Florida State University (and 1 more)
- Peng Chen 0007 — Xihua University, School of Computer and Software Engineering, Chengdu, China (and 1 more)
- Peng Chen 0008 — Zhejiang University, College of Information and Engineering, Hangzhou, China
- Peng Chen 0009 — Beijing University of Posts and Telecommunications
- Peng Chen 0010 — Kyushu Institute of Technology
- Peng Chen 0011 — China Three Gorges University
- Peng Chen 0012 — University of North Texas
- Peng Chen 0013 — North China University of Water Conservancy and Hydroelectric Power
- Peng Chen 0014 — Peking University, Shenzhen, China
- Peng Chen 0015 — Indiana University, Bloomington, USA
- Peng Chen 0016 — ETH Zurich, Switzerland
- Peng Chen 0017 — University of Electronic Science and Technology of China, School of Aeronautics and Astronautics, Chengdu, China
- Peng Chen 0018 — Southeast University, School of Information Science and Engineering, Nanjing, China (and 1 more)
- Peng Chen 0019 — State Oceanic Administration, Hangzhou, China
- Peng Chen 0020 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
- Peng Chen 0021 — Beihang University, School of Transportation Science and Engineering, Beijing, China
- Peng Chen 0022 — University College Dublin, School of Electrical and Electronic Engineering, Ireland (and 1 more)
- Peng Chen 0023 — Second Institute of Oceanography, State Key Laboratory of Satellite Ocean Environment Dynamics, Hangzhou, China (and 1 more)
- Peng Chen 0024 — University of Texas at Austin, Institute for Computational Engineering and Sciences, Austin, TX, USA
- Peng Chen 0025 — Tongji University, College of Surveying and Geo-Informatics, Shanghai, China
- Peng Chen 0026 — Dalian Maritime University, Navigation College, Dalian, China (and 1 more)
- Peng Chen 0027 — National University of Singapore, Singapore (and 1 more)
- Peng Chen 0028 — China Telecom, Technology Innovation Center, Beijing, China
- Peng Chen 0029 — Microsoft Research and AI Group, Beijing, China
- Peng Chen 0030 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Peng Chen 0031 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, China
- Peng Chen 0032 — Shanghai Maritime University, Department of Computer Science and Technology, China
- Peng Chen 0033 — Jilin University, Second Hospital, Changchun, China
- Peng Chen 0034 — ByteDance AI Lab, Beijing, China (and 1 more)
- Peng Chen 0035 — National Institute of Advanced Industrial Science and Technology, Japan, RIKEN Center for Computational Science, Tokyo, Japan (and 1 more)
- Peng Chen 0036 — Dalian Maritime University of China, Navigation College, Key Laboratory of Transport Industry of Intelligent Water Transportation, China
- Peng Chen 0037 — University of Adelaide, School of Computer Science, SA, Australia (and 2 more)
- Peng Chen 0038 — East China Normal University, China
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2020 – today
- 2024
[j32]Haihong Tang, Yanmin Tang, Yuxiang Su, Wuwei Feng, Bing Wang, Peng Chen, Dunwen Zuo:
Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter. Eng. Appl. Artif. Intell. 127(Part A): 107138 (2024)- 2023
- [j31]Bingchen Liu, Hongtao Xue, Dianyong Ding, Ning Sun, Peng Chen:
In-Wheel Motor Fault Diagnosis Using Affinity Propagation Minimum-Distance Discriminant Projection and Weibull-Kernel-Function-Based SVDD. Sensors 23(8): 4021 (2023) - 2022
- [j30]Kun Zhang, Haihong Tang, Peng Chen, Yonggang Xu, Aijun Hu:
A Method for Extracting Fault Features Using Variable Multilevel Spectral Segmentation Framework and Harmonic Correlation Index. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - 2021
- [j29]Tangshao Duan, Zhiqiang Liao, Taifu Li, Haihong Tang, Peng Chen:
Bearing Fault Diagnosis Based on State-Space Principal Component Tracking Filter Algorithm. IEEE Access 9: 158784-158795 (2021) - [j28]Kun Zhang, Ling Shi, Yue Hu, Peng Chen, Yonggang Xu:
Variable spectral segmentation empirical wavelet transform for noisy signal processing. Digit. Signal Process. 117: 103151 (2021) - [j27]Haihong Tang, Zhiqiang Liao, Peng Chen, Dunwen Zuo, Sheng Yi:
A Novel Convolutional Neural Network for Low-Speed Structural Fault Diagnosis Under Different Operating Condition and Its Understanding via Visualization. IEEE Trans. Instrum. Meas. 70: 1-11 (2021)
2010 – 2019
- 2019
- [j26]Ke Li, Rui Zhang, Fucai Li, Lei Su, Huaqing Wang, Peng Chen:
A New Rotation Machinery Fault Diagnosis Method Based on Deep Structure and Sparse Least Squares Support Vector Machine. IEEE Access 7: 26571-26580 (2019) - [j25]Hongtao Xue, Ziming Zhang, Meng Wu, Peng Chen:
Fuzzy Controller for Autonomous Vehicle Based on Rough Sets. IEEE Access 7: 147350-147361 (2019) - [j24]Zhaoyi Guan, Zhiqiang Liao, Ke Li, Peng Chen:
A Precise Diagnosis Method of Structural Faults of Rotating Machinery based on Combination of Empirical Mode Decomposition, Sample Entropy, and Deep Belief Network. Sensors 19(3): 591 (2019) - [j23]Yusuke Kobayashi, Liuyang Song, Masaru Tomita, Peng Chen:
Automatic Fault Detection and Isolation Method for Roller Bearing Using Hybrid-GA and Sequential Fuzzy Inference. Sensors 19(16): 3553 (2019) - 2018
- [j22]Zhiqiang Liao, Tai-fu Li, Peng Chen, Shilun Zuo:
A multi-objective robust optimization scheme for reducing optimization performance deterioration caused by fluctuation of decision parameters in chemical processes. Comput. Chem. Eng. 119: 1-12 (2018) - [j21]Zhiqiang Liao, Liuyang Song, Peng Chen, Zhaoyi Guan, Ziye Fang, Ke Li:
An Effective Singular Value Selection and Bearing Fault Signal Filtering Diagnosis Method Based on False Nearest Neighbors and Statistical Information Criteria. Sensors 18(7): 2235 (2018) - [j20]Liuyang Song, Huaqing Wang, Peng Chen:
Step-by-Step Fuzzy Diagnosis Method for Equipment Based on Symptom Extraction and Trivalent Logic Fuzzy Diagnosis Theory. IEEE Trans. Fuzzy Syst. 26(6): 3467-3478 (2018) - [j19]Liuyang Song, Huaqing Wang, Peng Chen:
Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery. IEEE Trans. Instrum. Meas. 67(8): 1887-1899 (2018) - [c11]Zhiqiang Liao, Peng Chen:
A Vibration Signal Filtering Method Based on KL Divergence Genetic Algorithm - with Application to Low Speed Bearing Fault Diagnosis. DSP 2018: 1-5 - 2017
- [j18]Ke Li, Jingjing Wu, Qiuju Zhang, Lei Su, Peng Chen:
New Particle Filter Based on GA for Equipment Remaining Useful Life Prediction. Sensors 17(4): 696 (2017) - [j17]Yansong Hao, Liuyang Song, Yanliang Ke, Huaqing Wang, Peng Chen:
Diagnosis of Compound Fault Using Sparsity Promoted-Based Sparse Component Analysis. Sensors 17(6): 1307 (2017) - [j16]Jingjing Wu, Ke Li, Qiuju Zhang, Wei An, Yi Jiang, Xueliang Ping, Peng Chen:
Iterative RANSAC based adaptive birth intensity estimation in GM-PHD filter for multi-target tracking. Signal Process. 131: 412-421 (2017) - 2016
- [j15]Ke Li, Qiuju Zhang, Kun Wang, Peng Chen, Huaqing Wang:
Intelligent Condition Diagnosis Method Based on Adaptive Statistic Test Filter and Diagnostic Bayesian Network. Sensors 16(1): 76 (2016) - [j14]Huaqing Wang, Yanliang Ke, Liuyang Song, Gang Tang, Peng Chen:
A Sparsity-Promoted Decomposition for Compressed Fault Diagnosis of Roller Bearings. Sensors 16(9): 1524 (2016) - [j13]Liuyang Song, Peng Chen, Huaqing Wang, Miki Kato:
Intelligent Condition Diagnosis Method for Rotating Machinery Based on Probability Density and Discriminant Analyses. IEEE Signal Process. Lett. 23(8): 1111-1115 (2016) - 2013
- [j12]Hongtao Xue, Huaqing Wang, Peng Chen, Ke Li, Liuyang Song:
Automatic diagnosis method for structural fault of rotating machinery based on distinctive frequency components and support vector machines under varied operating conditions. Neurocomputing 116: 326-335 (2013) - [j11]Ke Li, Xueliang Ping, Huaqing Wang, Peng Chen, Yi Cao:
Sequential Fuzzy Diagnosis Method for Motor Roller Bearing in Variable Operating Conditions Based on Vibration Analysis. Sensors 13(6): 8013-8041 (2013) - [c10]Hongtao Xue, Ke Li, Huaqing Wang, Peng Chen:
Sequential Diagnosis Method for Rotating Machinery Using Support Vector Machines and Possibility Theory. ICIC (1) 2013: 315-324 - 2012
- [j10]Ke Li, Peng Chen, Shiming Wang:
An Intelligent Diagnosis Method for Rotating Machinery Using Least Squares Mapping and a Fuzzy Neural Network. Sensors 12(5): 5919-5939 (2012) - [c9]Weijuan Jiang, Zhongxing Li, Ke Li, Hongtao Xue, Peng Chen:
Fault Diagnosis Method of Machinery Based on Fisher's Linear Discriminant and Possibility Theory. ICIC (2) 2012: 350-357 - 2011
- [j9]Huaqing Wang, Peng Chen:
Intelligent diagnosis method for rolling element bearing faults using possibility theory and neural network. Comput. Ind. Eng. 60(4): 511-518 (2011) - [j8]Lixin Gao, Zijing Yang, Ligang Cai, Huaqing Wang, Peng Chen:
Roller Bearing Fault Diagnosis Based on Nonlinear Redundant Lifting Wavelet Packet Analysis. Sensors 11(1): 260-277 (2011) - [j7]Lixin Gao, Fenlou Zai, Shanbin Su, Huaqing Wang, Peng Chen, Limei Liu:
Study and Application of Acoustic Emission Testing in Fault Diagnosis of Low-Speed Heavy-Duty Gears. Sensors 11(1): 599-611 (2011) - [j6]Ke Li, Peng Chen:
Intelligent Method for Diagnosing Structural Faults of Rotating Machinery Using Ant Colony Optimization. Sensors 11(4): 4009-4029 (2011) - [j5]Lingli Cui, Chenhui Kang, Huaqing Wang, Peng Chen:
Application of Composite Dictionary Multi-Atom Matching in Gear Fault Diagnosis. Sensors 11(6): 5981-6002 (2011) - [c8]Hongtao Xue, Huaqing Wang, Liuyang Song, Peng Chen:
Structural Fault Diagnosis of Rotating Machinery Based on Distinctive Frequency Components and Support Vector Machines. ICIC (2) 2011: 341-348 - 2010
- [j4]Lixin Gao, Zhiqiang Ren, Wenliang Tang, Huaqing Wang, Peng Chen:
Intelligent Gearbox Diagnosis Methods Based on SVM, Wavelet Lifting and RBR. Sensors 10(5): 4602-4621 (2010)
2000 – 2009
- 2009
- [j3]Huaqing Wang, Peng Chen:
Intelligent diagnosis method for a centrifugal pump using features of vibration signals. Neural Comput. Appl. 18(4): 397-405 (2009) - [j2]Huaqing Wang, Peng Chen:
A Feature Extraction Method Based on Information Theory for Fault Diagnosis of Reciprocating Machinery. Sensors 9(4): 2415-2436 (2009) - [c7]Huaqing Wang, Shuming Wang, Peng Chen:
Condition Diagnosis Method Based on Statistic Features and Information Divergence. FSKD (2) 2009: 537-541 - 2008
- [j1]Tetsuro Mitoma, Huaqing Wang, Peng Chen:
Fault diagnosis and condition surveillance for plant rotating machinery using partially-linearized neural network. Comput. Ind. Eng. 55(4): 783-794 (2008) - [c6]Huaqing Wang, Peng Chen:
Sequential Fuzzy Diagnosis for Condition Monitoring of Rolling Bearing Based on Neural Network. ISNN (2) 2008: 284-293 - [c5]Xiong Zhou, Huaqing Wang, Peng Chen, Jingwei Song:
Diagnosis Method for Gear Equipment by Sequential Fuzzy Neural Network. ISNN (2) 2008: 473-482 - 2006
- [c4]Peng Chen, Yoshizo Hasegawa, Mitushi Yamashita:
Grasping Control of Robot Hand Using Fuzzy Neural Network. ISNN (2) 2006: 1178-1187 - 2004
- [c3]Moez Bellamine, Norihiro Abe, Kazuaki Tanaka, Peng Chen, Hirokazu Taki:
A Virtual Reality Based System for Remote Maintenance of Rotating Machinery. EUC 2004: 164-173 - [c2]Peng Chen, Xinying Liang, Takayoshi Yamamoto:
Rough Sets and Partially-Linearized Neural Network for Structural Fault Diagnosis of Rotating Machinery. ISNN (2) 2004: 574-580 - [c1]Moez Bellamine, Norihiro Abe, Kazuaki Tanaka, Peng Chen, Hirokazu Taki:
A remote diagnosis system for rotating machinery using virtual reality. RAM 2004: 716-723
Coauthor Index
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