Anomaly Prediction and Remaining Useful Life for Alternator Health Monitoring System-Reference-Cited by-同舟云学术

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Anomaly Prediction and Remaining Useful Life for Alternator Health Monitoring System

Published:2022-12-01 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Future Trends in Smart Communities (ICFTSC)
language:
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Author:

Wong Lin Yong¹,Yahya Norashikin²,Hamid M Nazim³,Hisham Suhaila Badarol¹

Affiliation:

1. Universiti Teknologi PETRONAS,Department of Electrical and Electronic Engineering,Seri Iskandar,Perak,Malaysia

2. Universiti Teknologi PETRONAS,Centre for Intelligent Signal and Imaging Research (CISIR),Department of Electrical and Electronic Engineering,Seri Iskandar,Perak,Malaysia

3. Electrical, GTS, PD&T, PETRONAS PETRONAS Twin Towers,Kuala Lumpur,Malaysia

Funder

PETRONAS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10038980/10039723/10040046.pdf?arnumber=10040046

Reference10 articles.

1. Improvement of learning for CNN with ReLU activation by sparse regularization

2. Machine health monitoring with LSTM networks

3. Understanding of a convolutional neural network

4. Isolation Forest

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