Detecting anomalies in time series data from a manufacturing system using recurrent neural networks-Reference-Cited by-同舟云学术

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Detecting anomalies in time series data from a manufacturing system using recurrent neural networks

Published:2020-12 Issue: Volume: Page:
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Wang Yue,Perry Michael,Whitlock Dane,Sutherland John W.

Funder

Cummins Inc.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference35 articles.

1. Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities;Quatrini;J Manuf Syst,2020

2. Anomaly monitoring improves remaining useful life estimation of industrial machinery;Aydemir;J Manuf Syst,2020

3. A new statistical approach to automated quality control in manufacturing processes;Milo;J Manuf Syst,2015

4. Deep learning for smart manufacturing: methods and applications;Wang;J Manuf Syst,2018

5. Intelligent manufacturing in the context of industry 4.0: a review;Zhong;Engineering,2017

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