Machine failure prediction technique using recurrent neural network long short-term memory-particle swarm optimization algorithm
This paper proposes a hybrid prediction technique based on Recurrent Neural Network Long-Short-Term Memory (RNN-LSTM) with the integration of Particle Swarm Optimization (PSO) algorithm to estimate the Remaining Useful Life (RUL) of machines. LSTM is an improvement of RNN as RNN faces issues with pr...
| Main Authors: | Rashid, N.A., Abdul Aziz, I., Hasan, M.H.B. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.23513 / |
| Published: |
Springer Verlag
2019
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065925843&doi=10.1007%2f978-3-030-19810-7_24&partnerID=40&md5=f32eb9404f711e8e244ade6d877db179 http://eprints.utp.edu.my/23513/ |
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