Multi-source information fusion to identify water supply pipe leakage based on SVM and VMD

作者：

Highlights：

• The paper proposes a multi-source information fusion identification method based on VMD and SVM.

• The paper uses VMD to decompose the acoustic vibration signal of water supply pipes and proposes a criterion for the selection of IMF components.

• Three feature vectors for multi-source information fusion into a new feature vector, which is fed into the SVM classifier for leakage identification.

摘要

•The paper proposes a multi-source information fusion identification method based on VMD and SVM.•The paper uses VMD to decompose the acoustic vibration signal of water supply pipes and proposes a criterion for the selection of IMF components.•Three feature vectors for multi-source information fusion into a new feature vector, which is fed into the SVM classifier for leakage identification.

论文关键词：Leakage recognition,Feature extraction,Information fusion,SVM

论文评审过程：Received 2 August 2021, Revised 8 November 2021, Accepted 12 November 2021, Available online 23 November 2021, Version of Record 23 November 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102819