Predictive Maintenance of Air Booster Compressor (ABC) Motor Failure using Artificial Neural Network trained by Particle Swarm Optimization

Predictive maintenance becomes crucial nowadays in industry 4.0 since it will have a high impact on the industrial economy. Therefore, accurate predictive maintenance growing high demand for handling the failure of big plants effectively. In this paper, the model of predictive maintenance for Air Bo...

Full description

Main Authors: Rosli, N.S., Ain Burhani, N.R., Ibrahim, R.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.23614 /
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075635449&doi=10.1109%2fSCORED.2019.8896330&partnerID=40&md5=57026a08d8a8b4317fe0bd50c8f3153b
http://eprints.utp.edu.my/23614/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-eprints.23614
recordtype eprints
spelling utp-eprints.236142021-08-19T08:09:49Z Predictive Maintenance of Air Booster Compressor (ABC) Motor Failure using Artificial Neural Network trained by Particle Swarm Optimization Rosli, N.S. Ain Burhani, N.R. Ibrahim, R. Predictive maintenance becomes crucial nowadays in industry 4.0 since it will have a high impact on the industrial economy. Therefore, accurate predictive maintenance growing high demand for handling the failure of big plants effectively. In this paper, the model of predictive maintenance for Air Booster Compressor (ABC) Motor failure is using Artificial Neural Network (ANN) is presented. However, the optimal weights of the network are one of the parameters that lead to the accuracy of ANN. Therefore, Particle Swarm Optimization (PSO) is proposed to train the weights and bias of ANN. The result presented in this paper is compared with conventional ANN based on Mean Square Error (MSE) and Root Mean Square Error (RMSE) © 2019 IEEE. Institute of Electrical and Electronics Engineers Inc. 2019 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075635449&doi=10.1109%2fSCORED.2019.8896330&partnerID=40&md5=57026a08d8a8b4317fe0bd50c8f3153b Rosli, N.S. and Ain Burhani, N.R. and Ibrahim, R. (2019) Predictive Maintenance of Air Booster Compressor (ABC) Motor Failure using Artificial Neural Network trained by Particle Swarm Optimization. In: UNSPECIFIED. http://eprints.utp.edu.my/23614/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Predictive maintenance becomes crucial nowadays in industry 4.0 since it will have a high impact on the industrial economy. Therefore, accurate predictive maintenance growing high demand for handling the failure of big plants effectively. In this paper, the model of predictive maintenance for Air Booster Compressor (ABC) Motor failure is using Artificial Neural Network (ANN) is presented. However, the optimal weights of the network are one of the parameters that lead to the accuracy of ANN. Therefore, Particle Swarm Optimization (PSO) is proposed to train the weights and bias of ANN. The result presented in this paper is compared with conventional ANN based on Mean Square Error (MSE) and Root Mean Square Error (RMSE) © 2019 IEEE.
format Conference or Workshop Item
author Rosli, N.S.
Ain Burhani, N.R.
Ibrahim, R.
spellingShingle Rosli, N.S.
Ain Burhani, N.R.
Ibrahim, R.
Predictive Maintenance of Air Booster Compressor (ABC) Motor Failure using Artificial Neural Network trained by Particle Swarm Optimization
author_sort Rosli, N.S.
title Predictive Maintenance of Air Booster Compressor (ABC) Motor Failure using Artificial Neural Network trained by Particle Swarm Optimization
title_short Predictive Maintenance of Air Booster Compressor (ABC) Motor Failure using Artificial Neural Network trained by Particle Swarm Optimization
title_full Predictive Maintenance of Air Booster Compressor (ABC) Motor Failure using Artificial Neural Network trained by Particle Swarm Optimization
title_fullStr Predictive Maintenance of Air Booster Compressor (ABC) Motor Failure using Artificial Neural Network trained by Particle Swarm Optimization
title_full_unstemmed Predictive Maintenance of Air Booster Compressor (ABC) Motor Failure using Artificial Neural Network trained by Particle Swarm Optimization
title_sort predictive maintenance of air booster compressor (abc) motor failure using artificial neural network trained by particle swarm optimization
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075635449&doi=10.1109%2fSCORED.2019.8896330&partnerID=40&md5=57026a08d8a8b4317fe0bd50c8f3153b
http://eprints.utp.edu.my/23614/
_version_ 1741196703894077440
score 11.62408