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Proceedings Papers

Finite Element Dynamic Model and Vibration Signal Simulation of Rolling Bearing With Local Faults

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Tianhe Wang, Lei Chen, Hong Lu, Shaojun Wang, Zhangjie Li, Wei Zhang, Jiangnuo Mei
Proc. ASME. MSEC2023, Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality and Reliability, V002T06A033, June 12–16, 2023
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2023-105504
https://doi.org/10.1115/MSEC2023-105504
View Paper titled, Finite Element Dynamic Model and Vibration Signal Simulation of Rolling Bearing With Local Faults
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Topics: Dynamic models, Finite element analysis, Finite element model, Rolling bearings, Signals, Simulation, Vibration
Proceedings Papers

Multi-Mode Particle Filter for Bearing Remaining Life Prediction

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Peng Wang, Ruqiang Yan, Robert X. Gao
Proc. ASME. MSEC2018, Volume 3: Manufacturing Equipment and Systems, V003T02A031, June 18–22, 2018
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2018-6638
https://doi.org/10.1115/MSEC2018-6638
View Paper titled, Multi-Mode Particle Filter for Bearing Remaining Life Prediction
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Topics: Bearings, Filters, Particulate matter, Service life (Equipment), Machinery, Rolling bearings, Vibration, Chain, Failure, Maintenance
Proceedings Papers

Fault Diagnosis of Rolling Bearings Based on Multi-Scale Entropy and Ensembled Artificial Neural Network

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Fen Chen, Quan Liu, Qin Wei, Deng Ting, Yan Ting, Su Wenqin, Peng Bingjie, Lei Zhao
Proc. ASME. MSEC2014, Volume 2: Processing, V002T02A041, June 9–13, 2014
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2014-4033
https://doi.org/10.1115/MSEC2014-4033
View Paper titled, Fault Diagnosis of Rolling Bearings Based on Multi-Scale Entropy and Ensembled Artificial Neural Network
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Topics: Artificial neural networks, Entropy, Fault diagnosis, Rolling bearings, Cycles, Feature extraction, Flaw detection, Machinery, Reliability, Time series
Proceedings Papers

Feature Extraction of Rolling Bearing Fault Based on Ensemble Empirical Mode Decomposition and Correlation Dimension

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Lei Zhao, Zude Zhou, Yang Yin, Rong Chen, Quan Liu, Qin Wei
Proc. ASME. MSEC2014, Volume 2: Processing, V002T02A043, June 9–13, 2014
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2014-4070
https://doi.org/10.1115/MSEC2014-4070
View Paper titled, Feature Extraction of Rolling Bearing Fault Based on Ensemble Empirical Mode Decomposition and Correlation Dimension
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Topics: Dimensions, Feature extraction, Rolling bearings, Machinery, Noise (Sound), Signals, Algorithms, Attractors, Cycles, Fault diagnosis
Proceedings Papers

Application of Envelop Analysis and Wavelet Transform for Fault Detection in Local Gearboxes Failure

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Dong Sik Gu, Byeong Keun Choi, Byeong Su Kim, Jeong Hwan Lee, Jong Duk Son, Bo Suk Yang, Achmad Widod
Proc. ASME. MSEC2008, ASME 2008 International Manufacturing Science and Engineering Conference, Volume 2, 579-583, October 7–10, 2008
Publisher: American Society of Mechanical Engineers
Paper No: MSEC_ICM&P2008-72546
https://doi.org/10.1115/MSEC_ICMP2008-72546
View Paper titled, Application of Envelop Analysis and Wavelet Transform for Fault Detection in Local Gearboxes Failure
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Topics: Failure, Flaw detection, Wavelet transforms, Signals, Bearings, Gears, Machinery, Mechanical drives, Acoustic emissions, Acoustics
Proceedings Papers

Intelligent Fault Diagnosis of Rolling Element Bearing Based on SVMs and Statistical Characteristics

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Junyan Yang, Youyun Zhang, Yongsheng Zhu, Qinghua Wang
Proc. ASME. MSEC2007, ASME 2007 International Manufacturing Science and Engineering Conference, 525-536, October 15–18, 2007
Publisher: American Society of Mechanical Engineers
Paper No: MSEC2007-31183
https://doi.org/10.1115/MSEC2007-31183
View Paper titled, Intelligent Fault Diagnosis of Rolling Element Bearing Based on SVMs and Statistical Characteristics
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Topics: Fault diagnosis, Rolling bearings, Electromagnetic spectrum, Wavelets, Signals, Time-frequency analysis