Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference37 articles.
1. Resilience evaluation methodology of engineering systems with dynamic-Bayesian-network-based degradation and maintenance;Cai;Reliab Eng Syst Saf,2021
2. Availability-based engineering resilience metric and its corresponding evaluation methodology;Cai;Reliab Eng Syst Saf,2018
3. Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence;Han;Reliab Eng Syst Saf,2021
4. Data-driven early fault diagnostic methodology of permanent magnet synchronous motor;Cai;Expert Syst Appl,2021
5. One-dimensional fully decoupled networks for fault diagnosis of planetary gearboxes;Chang;Mech Syst Signal Process,2020
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