Modified Varying Index Coefficient Autoregression Model for Representation of the Nonstationary Vibration From a Planetary Gearbox
Author:
Affiliation:
1. Institute of Rail Transit, Tongji University, Shanghai, China
2. Department of Mechanical Engineering, University of Alberta, Edmonton, Canada
3. School of Engineering, University of British Columbia, Vancouver, Canada
Funder
Shanghai Sailing Program
Shanghai Collaborative Innovation Research Center for Multi-Network and Multi-Modal Rail Transit
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10081265.pdf?arnumber=10081265
Reference49 articles.
1. Condition Monitoring Under Non-Stationary Operating Conditions using Time–Frequency Representation-Based Dynamic Features
2. A Review of Singular Spectral Analysis to Extract Components from Gearbox Data
3. Anomaly detection and fault analysis of wind turbine components based on deep learning network
4. Variational nonlinear component decomposition for fault diagnosis of planetary gearboxes under variable speed conditions
5. The anomalous and smoothed anomalous envelope spectra for rotating machine fault diagnosis
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