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| Multi-point leak detection method based on improved VMD and TWSVM |
| LANG Xianming1,2,3, WANG Jiazheng1, CAO Jiangtao1, LI Ping1, CAI Zaihong4 |
1.School of Information and Control Engineering, Liaoning Shihua University, Fushun 113001, China;
2.College of Information Science and Engineering, Northeastern University, Shenyang 110819, China;
3.Shenyang Instrumentation Science Research Institute Co., Ltd., Shenyang 110043, China;
4.Beijing Haifulun Technology Co., Ltd., Beijing 100000, China |
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Abstract Here, aiming at the problem of acoustic wave signals of various leakage points overlapping with each other during multi-point leakage in pipeline simultaneously occurring to affect the propagation law of leakage acoustic wave and be unable to effectively detect multi-point leakage, a multi-point leakage detection method based on improved variational mode decomposition (VMD) and twin support vector machine (TWSVM) was proposed.Due to the number of decomposition modes of VMD affecting the effect of multi-point leakage feature extraction, the number of intrinsic mode functions of VMD was adaptively selected by using the error energy function, and thus VMD was improved.Then, the multi-point leakage’s acoustic wave signals were denoised with the improved VMD, and their feature values were extracted to form feature vectors.Finally, feature vectors were taken as the input of TWSVM, and TWSVM was used to do multi-point leakage recognition.The field test results showed that the proposed multi-point leakage detection method can be used to effectively detect multi-point leakage, and its detection accuracy reaches 98.4%.
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Received: 09 April 2020
Published: 15 September 2021
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