报告详情
A multi-condition anomaly detection method based on supervised contrastive autoencoder and adaptive threshold
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更新：2024-10-23 10:38:22
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口头报告
报告开始：2024年11月02日 10:50（Asia/Shanghai）
报告时间：20min
所在会场：[P5] Parallel Session 5 [P5-2] Parallel Session 5（November 2 AM）
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摘要
Anomaly detection plays a vital role in ensuring the safe operation of machine. But most existing algorithms focus on anomaly detection under stable working conditions. Their performance will be degraded for the components that operate under different working conditions, such as rotary manipulators. Besides, changes of working conditions would cause signal shift, leading to false alarms or missed detections in the algorithms. To this end, a multi-condition anomaly detection method based on a supervised contrastive autoencoder and adaptive threshold is proposed. First, supervised contrastive learning is integrated into the architecture of the autoencoder, which uses working condition information (WCI) as labels to narrow the distance between normal sample features of the same working condition and expand the distance between normal sample features of distinct working conditions. This enables the autoencoder to better learn the WCI while ensuring reconstruction capability. Then, a combination of reconstruction errors and the distance between the test samples and the centroids of all training samples at the same working condition is used as the anomaly detection metric. Finally, an adaptive threshold based on the WCI is set for anomaly detection, thereby enhancing the anomaly detection effect of the network under distinct working conditions. The superiority of the proposed method is confirmed by experiments conducted under different working conditions.
关键词
anomaly detection,contrastive learning,adaptive threshold,rotating manipulator,multi-condition
报告人
XuHong
Dr. Xi'an Jiaotong University稿件作者
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重要日期
-
会议日期
10月31日
2024
至11月03日
2024
-
09月30日 2024
初稿截稿日期
-
11月12日 2024
注册截止日期
主办单位
Anhui University
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
Xi’an Jiaotong University
Harbin Institute of Technology
IEEE Instrumentation & Measurement Society
联系方式
- Mrs. icsmd
- ic******@163.com
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