Abstract
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.
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