Negative Pressure Wave-Based Method for Abnormal Signal Location in Energy Transportation System

Abnormal signal location is an indispensable part to handle unexpected events such as pipeline leak in energy transportation system. However, unclear signal characteristics would make traditional location methods such as wavelet analysis failure in location process. To address it, a data-driven meth...

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Bibliographic Details
Published inIEEE transactions on instrumentation and measurement Vol. 71; pp. 1 - 9
Main Authors Hu, Xuguang, Ma, Dazhong, Song, Qinfeng, Chen, Guanhua, Wang, Rui, Zhang, Huaguang
Format Journal Article
LanguageEnglish
Published New York IEEE 2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Attenuation
Correlation
Data fusion
Elastic waves
energy system
Evolutionary algorithms
Evolutionary computation
Failure analysis
fault diagnosis
Gaussian process
Gaussian processes
pipeline leak location
Pipelines
Signal processing
Signal transmission
Time-domain analysis
Transportation
Transportation systems
Wavelet analysis
weak signal
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Summary:Abnormal signal location is an indispensable part to handle unexpected events such as pipeline leak in energy transportation system. However, unclear signal characteristics would make traditional location methods such as wavelet analysis failure in location process. To address it, a data-driven method based on negative pressure wave (NPW) is proposed in this article. First, a signal enhancement model based on Gaussian process regression (GPR) is proposed to highlight the changed signal characteristics. Then, a multi-objective evolutionary computation method is proposed to obtain the location result, which overcomes the shortcoming of unclear signal characteristics. Moreover, the signal transmission attenuation rules are added into the location process, which ensures the rationality and the reliability of the location result. Without introducing extra signal numbers and types, the proposed method could achieve higher accuracy and more robustness than traditional location methods such as wavelet analysis, which has the less 1.2% location deviation of the pipeline. Finally, different experiment results show that the proposed method is a realistic way to provide the position of abnormal signal source.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2022.3150891