A Novel Broad Learning System Based Leakage Detection and Universal Localization Method for Pipeline Networks

The security of pipeline systems draws attention increasingly; therefore, a novel method based on neural network and graph theory is proposed for the detection and localization of pipeline networks in this paper. First, the detection algorithm based on the broad learning system (BLS) is used to dist...

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Veröffentlicht in:	IEEE access Jg. 7; S. 42343 - 42353
Hauptverfasser:	Ma, Dazhong, Wang, Junda, Sun, Qiuye, Hu, Xuguang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive algorithms adaptive mutation particle swarm algorithm (APSO) broad learning system (BLS) Feature extraction Finite element method generalized cross correlation (GCC) Graph theory Learning systems Localization method Machine learning Manuals Mutation Neural networks Oils Performance enhancement Pipeline leakage detection and localization pipeline networks Pipelines Sensors Vibrations
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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