Adaptive Fault Diagnosis and Decision-Making Method Based on Multi-Spectrum Evaluation and Fusion for Traction Motor Bearings
Author:
Affiliation:
1. School of Mechanical Engineering and the State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, China
2. Cyber WF-Tech Company Ltd., Beijing, China
Funder
National Natural Science Foundation of China
National Science and Technology Major Project
Special Support Plan for High-Level Talents in Shaanxi Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/09932437.pdf?arnumber=9932437
Reference44 articles.
1. Technology of smart bearing based on microsensors;gao;Chin J Mech Eng,2003
2. Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine
3. Applications of machine learning to machine fault diagnosis: A review and roadmap
4. Sensitive Feature Extraction of Telemetry Vibration Signal Based on Referenced Manifold Spatial Fusion Learning
5. Adaptive Recursive Variational Mode Decomposition for Multiple Engine Faults Detection
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