Anomaly detection for remote maintenance control system of natural gas pipeline based on nearest neighbor clustering

Kangsheng Li; Quan Yuan; Bowen Jiang; Yulong Xian; Xin Gao

doi:10.1117/12.2652852

20 October 2022 Anomaly detection for remote maintenance control system of natural gas pipeline based on nearest neighbor clustering

Kangsheng Li, Quan Yuan, Bowen Jiang, Yulong Xian, Xin Gao

Author Affiliations +

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 1235014 (2022) https://doi.org/10.1117/12.2652852
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

Accurate anomaly detection of remote maintenance control system of natural gas pipeline is of great significance in ensuring the safe and stable operation of gas pipeline network. A supervised anomaly detection method based on k-nearest neighbors searching and clustering is proposed. Firstly, the labels of neighbor samples are used to determine whether the sample is noise or belongs to an anomaly cluster, and the iterative search is conducted in the neighbor samples until no more abnormal samples belonging to this cluster are found. Then, the noise samples are filtered and the numbers of new abnormal samples to be generated in each cluster are calculated. Finally, SMOTE is used to generate the artificial samples in each cluster to balance the data. The experiment results on public datasets and the remote maintenance control system monitoring dataset show that the proposed method outperforms the compared methods in terms of F-measure and G-mean.

Citation Download Citation

Kangsheng Li, Quan Yuan, Bowen Jiang, Yulong Xian, and Xin Gao "Anomaly detection for remote maintenance control system of natural gas pipeline based on nearest neighbor clustering", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 1235014 (20 October 2022); https://doi.org/10.1117/12.2652852

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KEYWORDS

Source mask optimization

Control systems

Binary data

Statistical analysis

Data modeling

Lithium

Networks

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