A genetic algorithm optimized RNN-LSTM model for remaining useful life prediction of turbofan engine
Understanding the remaining useful life (RUL) of equipment is crucial for optimal predictive maintenance (PdM). This addresses the issues of equipment downtime and unnecessary maintenance checks in run-to-failure maintenance and preventive maintenance. Both feature extraction and prediction algorith...
| Main Authors: | Chui, K.T., Gupta, B.B., Vasant, P. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23879 / |
| Published: |
MDPI AG
2021
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099953728&doi=10.3390%2felectronics10030285&partnerID=40&md5=3ddcf2f97114b5378ba8543888629ad2 http://eprints.utp.edu.my/23879/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|