Prediction of Machine Inactivation Status Using Statistical Feature Extraction and Machine Learning

Prediction of Machine Inactivation Status Using Statistical Feature Extraction and Machine Learning

In modern manufacturing, the detection and prediction of machine anomalies, i.e., the inactive state of the machine during operation, is an important issue. Accurate inactive state detection models for factory machines can result in increased productivity. Moreover, they can guide engineers in imple...

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Bibliographic Details
Main Authors:	Taing Borith, Sadirbaev Bakhit, Aziz Nasridinov, Kwan-Hee Yoo
Format:	Article
Language:	English
Published:	MDPI AG 2020-10-01
Series:	Applied Sciences
Subjects:	statistical feature extraction machine learning machine non-active state
Online Access:	https://www.mdpi.com/2076-3417/10/21/7413

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