A Review of Remaining Useful Life Prediction Approaches for Mechanical Equipment
Author:
Affiliation:
1. Shijiazhuang Campus, Army Engineering University, Shijiazhuang, China
Funder
Natural Science Foundation of Hebei Province, Equipment Comprehensive Research Project, Key Project of Independent Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10360293/10311537.pdf?arnumber=10311537
Reference241 articles.
1. MDCCS Based Multistage Life Prediction of Slewing Bearing with a Novel Performance Description: an Improved Variational Mode Decomposition Approach
2. Deep multisource parallel bilinear-fusion network for remaining useful life prediction of machinery
3. An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
4. Data Regeneration Based on Multiple Degradation Processes for Remaining Useful Life Estimation
5. Condition Monitoring, Diagnosis, Prognosis, and Health Management for Wind Energy Conversion Systems
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