Envelope demodulation method based on SET for fault diagnosis of rolling bearings under variable speed-Reference-Cited by-同舟云学术

Envelope demodulation method based on SET for fault diagnosis of rolling bearings under variable speed

Published:2020 Issue:7 Volume:14 Page:JAMDSM0104-JAMDSM0104
ISSN:1881-3054
Container-title:Journal of Advanced Mechanical Design, Systems, and Manufacturing
language:en
Short-container-title:JAMDSM

Author:

MA Zengqiang¹²,LI Xin³,LIU Suyan¹²,GE Yongjie⁴,LU Feiyu²

Affiliation:

1. State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University

2. School of Electrical and Electronic Engineering, Shijiazhuang Tiedao University

3. School of Traffic and Transportation, Shijiazhuang Tiedao University

4. College of Electronic and Information Engineering, Southwest University

Publisher

Japan Society of Mechanical Engineers

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

https://www.jstage.jst.go.jp/article/jamdsm/14/7/14_2020jamdsm0104/_pdf

Reference30 articles.

1. Amstrup, S. C., Mcdonald, T. L., and Durner G. M., Using satellite radiotelemetry data to delineate and manage wildlife populations, Wildlife Society Bulletin, Vol.32, No.3 (2004),pp. 661-679.

2. Bin J., Zhang H. J., Liu Y. B., Liu F., Lu S. L., and Dai Z. J., A feature extraction method using improved multi-scale entropy for rolling bearing fault diagnosis, Entropy, Vol.20, No.4 (2018), pp. 212.

3. Bo G., Xu G. J., Liu X. F., and Lin J., Bearing Fault Diagnosis based on Subband Time-Frequency Texture Tensor, IEEE Access, Vol.7 (2019), pp. 37611-37619.

4. Borghesani P., Pennacchi P., and Chatterton S., The relationship between kurtosis-and envelope-based indexes for the diagnostic of rolling element bearings, Mechanical Systems & Signal Processing, Vol.43 (2014),pp.25-43.

5. Chen B. J., Shen B. M., Chen F. F., Tian H. L., Xiao W. R., Zhang F. J., and Zhao C. H., Fault diagnosis method based on integration of RSSD and wavelet transform to rolling bearing, Measurement, Vol.131 (2019), pp.400-411.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bearing-Fault-Feature Enhancement and Diagnosis Based on Coarse-Grained Lattice Features;Sensors;2024-05-30

2. Research on a novel fault diagnosis method for gearbox based on matrix distance feature;Measurement and Control;2023-10-14

3. Application of adaptive MCKD method optimized by SSA based on mixed strategy in rolling bearing fault diagnosis;Journal of Advanced Mechanical Design, Systems, and Manufacturing;2023

4. A feature extraction method based on moving multi-scale reconstruction and interactive energy entropy for gear fault diagnosis;Insight - Non-Destructive Testing and Condition Monitoring;2022-12-01

5. The Extraction of Time-Varying Fault Characteristics of Rolling Bearings based on Adaptive Multi-Synchrosqueezing Transform;Journal of Vibration Engineering & Technologies;2022-05-17