报告详情
Anomaly Warning Using LSTM with Canonical Correlation Analysis and Sequential Probability Ratio Test for Oil Pumps
编号：121
访问权限：仅限参会人
更新：2025-11-10 15:42:50 浏览：31次
张贴报告
摘要
Oil pumps play a crucial role to provide the safe and reliable operation power in the oil transport system. They are usually monitored by various types of sensors with diverse parameters and variables to capture their working statues, so as to inhibit anomalies even faults by taking foresight actions, also as a prerequisite for lifetime and performance prediction, anomaly warning, as well as fault diagnosis and prediction. In this paper, we propose an anomaly warning method by using the canonical correlation analysis (CCA), sequential probability ratio test (SPRT), and long short-term memory network (LSTM) with fusing multi-type field data for oil pumps. First, the multi-type original data of the oil pump needs to be collected, cleaned and labeled as available and analyzable item in advance. Then, the key variable features are extracted by using the CCA with analyzing their correlations. Subsequently, the most relevant variables are input into the LSTM to predict the given variable signal trend. Additionally, the deviation errors between the predicted and real monitoring values are computed and input into the SPRT to garner the anomaly warning result. Finally, a case study of the oil pump with 13 on-site variables of four types is performed to demonstrate the effectiveness of the proposed method.
关键词
Oil pumps,Anomaly warning,Canonical correlation analysis,long short-term memory network,Sequential probability ratio test
报告人
Zhichao Wang
Assistant Researcher Tsinghua University稿件作者
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重要日期
-
会议日期
11月21日
2025
至11月23日
2025
-
10月20日 2025
初稿截稿日期
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11月23日 2025
注册截止日期
主办单位
IEEE Instrumentation and Measurement Society
South China University of Technology
South China University of Technology
承办单位
South China University of Technology
联系方式
- Icsmd
- ic******@163.com
历届会议
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2023年11月02日 中国 China
International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence -
2023年11月02日 中国 Xi'an
2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence -
2022年11月30日 中国 Harbin
International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence -
2021年10月21日 中国 Nanjing
2021 International Conference on Sensing, Measurement and Data Analytics in the era of Artificial Intelligence -
2020年10月15日 中国 Xi'an
International Conference on Sensing, Measurement and Data Analytics in the era of Artificial Intelligence
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