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 ◽

Motor Bearing

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Vibration analysis for bearing fault detection in electrical motors

2014 First International Conference on Networks & Soft Computing (ICNSC2014) ◽

10.1109/cnsc.2014.6906681 ◽

2014 ◽

Cited By ~ 3

Author(s):

Yogita K Chaudhari ◽

Jitendra A Gaikwad ◽

Jayant V Kulkarni

Keyword(s):

Fault Detection ◽

Vibration Analysis ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Electrical Motors

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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 ◽

Cited By ~ 2

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 ◽

Motor Bearing

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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 ◽

Cited By ~ 15

Author(s):

Lucio Ciabattoni ◽

Gionata Cimini ◽

Francesco Ferracuti ◽

Alessandro Freddi ◽

Gianluca Ippoliti ◽

...

Keyword(s):

Fault Detection ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Motor Bearing

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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 ◽

Motor Bearing

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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 ◽

Cited By ~ 1

Author(s):

Wangpeng HE

Keyword(s):

Fault Detection ◽

Wavelet Analysis ◽

Wind Turbine ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Motor Bearing

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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 ◽

Motor Bearing

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Induction Motor Bearing Fault Detection with Non-stationary Signal Analysis

Mechatronics, 2007 IEEE International Conference on ◽

10.1109/icmech.2007.4279981 ◽

2007 ◽

Cited By ~ 6

Author(s):

D.-M. Yang

Keyword(s):

Fault Detection ◽

Induction Motor ◽

Signal Analysis ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Non Stationary Signal ◽

Motor Bearing

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Vibration analysis for large-scale wind turbine blade bearing fault detection with an empirical wavelet thresholding method

Renewable Energy ◽

10.1016/j.renene.2019.06.094 ◽

2020 ◽

Vol 146 ◽

pp. 99-110 ◽

Cited By ~ 19

Author(s):

Zepeng Liu ◽

Long Zhang ◽

Joaquin Carrasco

Keyword(s):

Fault Detection ◽

Wind Turbine ◽

Turbine Blade ◽

Vibration Analysis ◽

Large Scale ◽

Wind Turbine Blade ◽

Wavelet Thresholding ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Thresholding Method

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Application of Different Machine Learning Strategies for Current- and Vibration-based Motor Bearing Fault Detection in Induction Motors

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2019.8927129 ◽

2019 ◽

Author(s):

Hugo D. L. Racoes ◽

Fernando J. T. E. Ferreira ◽

Joao M. Pires ◽

Carlos V. Damasio

Keyword(s):

Machine Learning ◽

Fault Detection ◽

Learning Strategies ◽

Induction Motors ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Motor Bearing

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Vibration analysis for bearing fault detection and classification using an intelligent filter

Mechatronics ◽

10.1016/j.mechatronics.2014.01.003 ◽

2014 ◽

Vol 24 (2) ◽

pp. 151-157 ◽

Cited By ~ 120

Author(s):

Jafar Zarei ◽

Mohammad Amin Tajeddini ◽

Hamid Reza Karimi

Keyword(s):

Fault Detection ◽

Vibration Analysis ◽

Bearing Fault ◽

Bearing Fault Detection ◽

Fault Detection And Classification

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