Variational Autoencoder를 활용한 제조 실행 시스템(MES) 오동작 탐지Anomaly Detection with Variational Autoencoder to Prevent System Malfunctions
- Other Titles
- Anomaly Detection with Variational Autoencoder to Prevent System Malfunctions
- Authors
- 고봉균; 백준걸
- Issue Date
- 2019
- Publisher
- 대한산업공학회
- Keywords
- MES; Anomaly Detection; System Log File; Word2Vec; Variational Autoencoder
- Citation
- 대한산업공학회지, v.45, no.2, pp.138 - 145
- Indexed
- KCI
- Journal Title
- 대한산업공학회지
- Volume
- 45
- Number
- 2
- Start Page
- 138
- End Page
- 145
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/69429
- DOI
- 10.7232/JKIIE.2019.45.2.138
- ISSN
- 1225-0988
- Abstract
- In order to cope with a rapidly changing manufacturing environment, we constantly improve the functions of themanufacturing execution system (MES) and change the master data of the system from time to time during plantoperation. However, this is a way to increase manufacturing efficiency and can also cause unexpected systemmalfunctions. Therefore, an anomaly detection system that can detect a malfunction of MES is needed. Thispaper analyzes MES log file to detect a system malfunction. A log file consisting of categorical data is convertedinto numerical data using Word2Vec and learns from the variable Autoencoder to determine if a system ismalfunctioning. Experimental results using a log file generated by a semiconductor MES simulator show that theproposed method has excellent system malfunction detection performance.
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Collections - College of Engineering > School of Industrial and Management Engineering > 1. Journal Articles
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