Periodic Sparsity Oriented Super-wavelet Analysis with Application to Motor Bearing Fault Detection of Wind Turbine

Journal of Mechanical Engineering ◽

10.3901/jme.2016.03.041 ◽

2016 ◽

Vol 52 (3) ◽

pp. 41 ◽

Author(s):

Wangpeng HE

Keyword(s):

Fault Detection ◽

Wavelet Analysis ◽

Wind Turbine ◽

Bearing Fault ◽

Bearing Fault Detection ◽

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Industrial Motor Bearing Fault Detection Using Vibration Analysis

International Conference on Intelligent Computing and Smart Communication 2019 - Algorithms for Intelligent Systems ◽

10.1007/978-981-15-0633-8_86 ◽

2019 ◽

pp. 827-839

Author(s):

Rajul Misra ◽

Kshitij Shinghal ◽

Amit Saxena ◽

Alok Agarwal

Keyword(s):

Fault Detection ◽

Vibration Analysis ◽

Bearing Fault ◽

Bearing Fault Detection ◽

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Research on feature extraction for rolling bearing fault detection in wind turbine

2017 Chinese Automation Congress (CAC) ◽

10.1109/cac.2017.8243692 ◽

2017 ◽

Author(s):

Xiaolei Li ◽

Xiaobing Shi ◽

Pengli Ding ◽

Linlin Xiao

Keyword(s):

Feature Extraction ◽

Fault Detection ◽

Wind Turbine ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Detection

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Brushless DC Motor Bearing Fault Detection Using Hall Effect Sensors and a Two-Stage Wavelet Transform

Electrical Engineering (ICEE), Iranian Conference on ◽

10.1109/icee.2018.8472458 ◽

2018 ◽

Author(s):

Omid Zandi ◽

Javad Poshtan

Keyword(s):

Wavelet Transform ◽

Fault Detection ◽

Hall Effect ◽

Dc Motor ◽

Brushless Dc Motor ◽

Two Stage ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Brushless Dc ◽

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Bearing Fault Detection and Separation of Wind Turbine Based on Artificial Immune System

2019 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS) ◽

10.1109/safeprocess45799.2019.9213421 ◽

2019 ◽

Author(s):

Yanheng Ren ◽

Xianghua Wang ◽

Chunming Zhang

Keyword(s):

Immune System ◽

Fault Detection ◽

Wind Turbine ◽

Artificial Immune System ◽

Artificial Immune ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Detection And Separation

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A novel LDA-based approach for motor bearing fault detection

2015 IEEE 13th International Conference on Industrial Informatics (INDIN) ◽

10.1109/indin.2015.7281834 ◽

2015 ◽

Author(s):

Lucio Ciabattoni ◽

Gionata Cimini ◽

Francesco Ferracuti ◽

Alessandro Freddi ◽

Gianluca Ippoliti ◽

...

Keyword(s):

Fault Detection ◽

Bearing Fault ◽

Bearing Fault Detection ◽

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Acoustic Emission Analysis for Wind Turbine Blade Bearing Fault Detection Using Sparse Augmented Lagrangian Algorithm

2020 IEEE Applied Power Electronics Conference and Exposition (APEC) ◽

10.1109/apec39645.2020.9124433 ◽

2020 ◽

Author(s):

Zepeng Liu ◽

Long Zhang

Keyword(s):

Acoustic Emission ◽

Fault Detection ◽

Wind Turbine ◽

Turbine Blade ◽

Augmented Lagrangian ◽

Wind Turbine Blade ◽

Emission Analysis ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Acoustic Emission Analysis

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Research on Motor Bearing Fault Detection Method Based on Cyclic Autocorrelation Function Analysis

Lecture Notes in Electrical Engineering - Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 ◽

10.1007/978-981-15-2862-0_16 ◽

2020 ◽

pp. 163-170

Author(s):

Peng Wang ◽

Chidong Qiu ◽

Xinbo Wu ◽

Zhengyu Xue

Keyword(s):

Fault Detection ◽

Autocorrelation Function ◽

Detection Method ◽

Function Analysis ◽

Bearing Fault ◽

Bearing Fault Detection ◽

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Bearing Fault Detection within Wind Turbine Gearbox

2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) ◽

10.1109/sdpc.2017.112 ◽

2017 ◽

Author(s):

Suliman Shanbr ◽

Faris Elasha ◽

Mohamed Elforjani ◽

Joao Amaral Teixeira

Keyword(s):

Fault Detection ◽

Wind Turbine ◽

Wind Turbine Gearbox ◽

Bearing Fault ◽

Bearing Fault Detection

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Research on Motor Bearing Fault Detection Method Based on Teager–Kaiser Energy Operator

Lecture Notes in Electrical Engineering - Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 ◽

10.1007/978-981-15-2862-0_18 ◽

2020 ◽

pp. 183-190

Author(s):

Yuan Gao ◽

Chidong Qiu ◽

Changqing Xu ◽

Zhengyu Xue

Keyword(s):

Fault Detection ◽

Detection Method ◽

Energy Operator ◽

Bearing Fault ◽

Bearing Fault Detection ◽

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Using maximum correlated kurtosis deconvolution method in the bearing fault detection of wind turbine generators

2017 14th International Conference on Engineering of Modern Electric Systems (EMES) ◽

10.1109/emes.2017.7980410 ◽

2017 ◽

Author(s):

Lorand Szabo

Keyword(s):

Fault Detection ◽

Wind Turbine ◽

Deconvolution Method ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Turbine Generators ◽

Wind Turbine Generators

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