Gas flow meter anomaly data detection based on fused LOF-DBSCAN algorithm-Reference-Cited by-同舟云学术

Gas flow meter anomaly data detection based on fused LOF-DBSCAN algorithm

Published:2022-11-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition
language:
Short-container-title:

Author:

Yue Xichao¹^ORCID,Wang Chaoqun²^ORCID,Wang Yong¹^ORCID,Chen Le²^ORCID,Wang Weifei¹^ORCID,Lei Yuhang¹^ORCID

Affiliation:

1. Shanghai University of Electric Power, China

2. Shanghai Aerospace Energy Co., Ltd, China

Funder

Key technologies and applications of smart energy for securing important loads in mega cities

Shanghai Natural Science Foundation

National Engineering Laboratory for Collaborative Security of Big Data

Feio Shanghai Industrial Internet Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581807.3581881

Reference21 articles.

1. Zhao Ran . Experimental research on online monitoring and fault diagnosis of gas turbine flowmeter[D] . Beijing University of Architecture , 2018 . Zhao Ran. Experimental research on online monitoring and fault diagnosis of gas turbine flowmeter[D]. Beijing University of Architecture,2018.

2. Han Chaohui , Liang Chuanyun , Zhang Jing . Analysis of influencing factors of gas meter measurement [J]. Shanghai gas , 2020 (05): 22-24 Han Chaohui, Liang Chuanyun, Zhang Jing. Analysis of influencing factors of gas meter measurement [J]. Shanghai gas, 2020 (05): 22-24

3. Cao Yong Research on online calibration method of natural gas flowmeter [D]. South China University of technology , 2018 Cao Yong Research on online calibration method of natural gas flowmeter [D]. South China University of technology, 2018

4. Analysis on Stable Metering and Troubleshooting of Gas Meters [J];Jinyong Wang;Science and Technology Outlook,2016

5. An identification method for power theft combining clustering and outlier detection algorithm [J];Ning Li;Electric Measurement and Instrumentation,2018

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1. Anomaly Detection in Smart Environments: A Comprehensive Survey;IEEE Access;2024