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

Internet

https://www.mdpi.com/2076-3417/12/9/4221

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