Prediction of Machine Failure in Industry 4.0: A Hybrid CNN-LSTM Framework

Prediction of Machine Failure in Industry 4.0: A Hybrid CNN-LSTM Framework

The proliferation of sensing technologies such as sensors has resulted in vast amounts of time-series data being produced by machines in industrial plants and factories. There is much information available that can be used to predict machine breakdown and degradation in a given factory. The downtime...

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Bibliographic Details
Main Authors:	Abdul Wahid, John G. Breslin, Muhammad Ali Intizar
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Series:	Applied Sciences
Subjects:	production forecasting Industry 4.0 manufacturing production line convolutional neural network (CNN) artificial intelligence (AI) long short-term memory (LSTM)
Online Access:	https://www.mdpi.com/2076-3417/12/9/4221

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