TR2021-107
Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder
-
- "Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder", IEEE International conference on emerging technologies and factory automation, September 2021.BibTeX TR2021-107 PDF
- @inproceedings{Liu2021sep,
- author = {Liu, Bryan and Guo, Jianlin and Koike-Akino, Toshiaki and Wang, Ye and Kim, Kyeong Jin and Parsons, Kieran and Orlik, Philip V. and Hashimoto, Shigeru and Yuan, Jinhong},
- title = {Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder},
- booktitle = {IEEE International conference on emerging technologies and factory automation},
- year = 2021,
- month = sep,
- url = {https://www.merl.com/publications/TR2021-107}
- }
,
- "Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder", IEEE International conference on emerging technologies and factory automation, September 2021.
-
MERL Contacts:
-
Research Areas:
Artificial Intelligence, Communications, Machine Learning, Signal Processing
Abstract:
This paper proposes an anomaly detection algorithm for a factory automation system, which jointly performs data pre-processing and time-delay autoencoder (TDAE) with a hybrid loss function. The source data are pre-processed by digital filters before feeding into a TDAE for anomaly detection. The digital filters extract analog signals from a variety of frequency bands to facilitate identifying anomalies. The pre-processed data then takes time-delay reform to explore temporal relationship of data signals. In addition, two anomaly diagnosis algorithms, a statistical based method and an autoencoder based method, are presented. Numerical results show that time-delay reform can improve the anomaly detection accuracy compared to the conventional autoencoder. Data pre-processing can further improve the anomaly detection accuracy. Moreover, we confirm that our anomaly diagnosis algorithms outperform traditional method that does not perform data pre-processing and time-delay reform.