Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems

Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems

<p dir="ltr">Nowadays, machine learning has emerged as a promising alternative for condition monitoring of industrial processes, making it indispensable for maintenance planning. Such a learning model is able to assess health states in real time provided that both training and testin...

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Bibliographic Details
Main Author: Tarek Berghout (16905132) (author)
Other Authors: Mohamed Benbouzid (13183968) (author), S. M. Muyeen (14778337) (author), Toufik Bentrcia (16905135) (author), Leila-Hayet Mouss (16905138) (author)
Published: 2021
Subjects:
Engineering
Electrical engineering
Information and computing sciences
Artificial intelligence
Machine learning
Feature extraction
Classification algorithms
Tuning
Training
Mathematical models
Correlation
Tools
Compressed sensing
Condition monitoring
Fault detection
Hydraulic systems
Industrial system
Particle swarm optimization
Predictive maintenance
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