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Peng Chen 0002
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Publications
- 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
- [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) - 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) - 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) - 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
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