Bearing fault diagnosis based on multi‐band filtering

IET Science Measurement & Technology ◽

10.1049/smt2.12090 ◽

2021 ◽

Author(s):

Yixiang Lu ◽

Zhihong Song ◽

Qingwei Gao ◽

De Zhu ◽

Dong Sun

Keyword(s):

Fault Diagnosis ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Multi Band

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A Coarse TF Ridge-Guided Multi-Band Feature Extraction Method for Bearing Fault Diagnosis Under Varying Speed Conditions

IEEE Access ◽

10.1109/access.2019.2896337 ◽

2019 ◽

Vol 7 ◽

pp. 18293-18310 ◽

Cited By ~ 7

Author(s):

Wenjun Guo ◽

Xingxing Jiang ◽

Ning Li ◽

Juanjuan Shi ◽

Zhongkui Zhu

Keyword(s):

Feature Extraction ◽

Fault Diagnosis ◽

Extraction Method ◽

Feature Extraction Method ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Multi Band

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Induction Machine Bearing Fault Diagnosis With Discrete Wavelet Transform Using Vibration Signal

i-manager’s Journal on Electrical Engineering ◽

10.26634/jee.5.4.1858 ◽

2012 ◽

Vol 5 (4) ◽

pp. 11-17

Author(s):

Ashwani Kumar Chandel ◽

◽

Raj Kumar Patel ◽

Keyword(s):

Wavelet Transform ◽

Fault Diagnosis ◽

Discrete Wavelet Transform ◽

Induction Machine ◽

Vibration Signal ◽

Discrete Wavelet ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Rolling Bearing Fault Diagnosis via ConceFT-Based Time-Frequency Reconfiguration Order Spectrum Analysis

IEEE Access ◽

10.1109/access.2018.2877711 ◽

2018 ◽

Vol 6 ◽

pp. 67131-67143 ◽

Cited By ~ 6

Author(s):

Dongdong Liu ◽

Weidong Cheng ◽

Weigang Wen

Keyword(s):

Fault Diagnosis ◽

Spectrum Analysis ◽

Rolling Bearing ◽

Time Frequency ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Order Spectrum

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Noise Eliminated Ensemble Empirical Mode Decomposition for Bearing Fault Diagnosis

Journal of Vibration Engineering & Technologies ◽

10.1007/s42417-021-00358-y ◽

2021 ◽

Author(s):

Atik Faysal ◽

Wai Keng Ngui ◽

M. H. Lim

Keyword(s):

Fault Diagnosis ◽

Empirical Mode Decomposition ◽

Ensemble Empirical Mode Decomposition ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Mode Decomposition

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Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals

ISA Transactions ◽

10.1016/j.isatra.2020.12.054 ◽

2021 ◽

Author(s):

Zhenya Wang ◽

Ligang Yao ◽

Gang Chen ◽

Jiaxin Ding

Keyword(s):

Support Vector Machine ◽

Fault Diagnosis ◽

Rolling Bearing ◽

Permutation Entropy ◽

Support Vector ◽

Complex Signals ◽

Machine Method ◽

Support Vector Machine Method ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3055786 ◽

2021 ◽

Vol 70 ◽

pp. 1-13

Author(s):

Changqing Shen ◽

Xu Wang ◽

Dong Wang ◽

Yongxiang Li ◽

Jun Zhu ◽

...

Keyword(s):

Fault Diagnosis ◽

Working Conditions ◽

Joint Distribution ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Bearing fault diagnosis based on DNN using multi-scale feature fusion

2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC) ◽

10.1109/yac51587.2020.9337689 ◽

2020 ◽

Author(s):

Funa Zhou ◽

Zhiqiang Zhang ◽

Danmin Chen

Keyword(s):

Fault Diagnosis ◽

Feature Fusion ◽

Scale Feature ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Multi Scale

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Rolling Bearing Fault Diagnosis using Transient-extracting Transform and Linear Discriminant Analysis

Measurement ◽

10.1016/j.measurement.2021.109298 ◽

2021 ◽

pp. 109298

Author(s):

Yuguo Zhou ◽

Shaoting Yan ◽

Yanbo Ren ◽

Shiliang Liu

Keyword(s):

Fault Diagnosis ◽

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Rolling Bearing ◽

Linear Discriminant ◽

Bearing Fault ◽

Bearing Fault Diagnosis

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Rolling bearing fault diagnosis method based on VMD and LSSVM

Journal of Physics Conference Series ◽

10.1088/1742-6596/1792/1/012035 ◽

2021 ◽

Vol 1792 (1) ◽

pp. 012035

Author(s):

Xingtong Zhu ◽

Zhiling Huang ◽

Jinfeng Chen ◽

Junhao Lu

Keyword(s):

Fault Diagnosis ◽

Rolling Bearing ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Diagnosis Method

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A Bearing Fault Diagnosis Method Based on L1 Regularization Transfer Learning and LSTM Deep Learning

2021 IEEE International Conference on Information Communication and Software Engineering (ICICSE) ◽

10.1109/icicse52190.2021.9404081 ◽

2021 ◽

Author(s):

Daiie Zhu ◽

Xudong Song ◽

Jie Yang ◽

Yuyang Cong ◽

Lijuan Wang

Keyword(s):

Deep Learning ◽

Fault Diagnosis ◽

Transfer Learning ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

L1 Regularization ◽

Diagnosis Method

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