Statistically Interpretable Health Indicator Based on Dynamic Interactions Decoupling for Gear Wear Assessment-Reference-Cited by-同舟云学术

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Statistically Interpretable Health Indicator Based on Dynamic Interactions Decoupling for Gear Wear Assessment

Published:2024 Issue: Volume:73 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhang Guangyao¹^ORCID,Wang Yi²^ORCID,Fan Zehao¹^ORCID,Qin Yi²^ORCID,Tang Baoping²^ORCID

Affiliation:

1. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China

2. State Key Laboratory of Mechanical Transmission for Advanced Equipments, College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China

Funder

National Natural Science Foundation of China, China

Natural Science Foundation of Chongqing CSTC

Fund of Aeronautics Science, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10381758.pdf?arnumber=10381758

Reference39 articles.

1. Probabilistic Latent Semantic Analysis-Based Gear Fault Diagnosis Under Variable Working Conditions

2. Fault Signal Simulation and Service Condition Monitoring of Cracked Gear System

3. Gear wear monitoring by modulation signal bispectrum based on motor current signal analysis

4. Dual-Core Denoised Synchrosqueezing Wavelet Transform for Gear Fault Detection

5. A review of vibration-based gear wear monitoring and prediction techniques

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