PCA-based leakage detection method for water supply systems considering complex Fourier components

Chikako Kondo, Akira Mita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The water leakage leads to deficient water supplies, roads caving in, leakage in buildings, and secondary disasters. In this study, we propose the PCA-based automatic water leakage detection method considering complex Fourier components. The water leakage sounds and pseudo sounds, such as gas flow sounds, water usage sounds etc., are collected by microphone put on the ground. The Fourier spectra are obtained through the short-time Fourier transform (STFT). Then the principal component analysis (PCA) is applied to complex Fourier components of each collected sound data. The contribution ratio and the kurtosis of the eigenvector of the first principal component show the good ability to distinguish the water leakage sounds from the pseudo sounds. Therefore, the feature vectors are created from these PCA parameters. Based on them, the Support Vector Machine (SVM) is built. The results show that the classification can reach a very high accuracy. At last, applicability of the proposed water leakage detection method is well demonstrated.

Original languageEnglish
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009
EditionPART 1
DOIs
Publication statusPublished - 2009 Dec 1
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009 - San Diego, CA, United States
Duration: 2009 Mar 92009 Mar 12

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
NumberPART 1
Volume7292
ISSN (Print)0277-786X

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009
CountryUnited States
CitySan Diego, CA
Period09/3/909/3/12

Keywords

  • Auditory test
  • Leak detection
  • Principal component analysis
  • Short-time Fourier transform
  • Support Vector Machine

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Kondo, C., & Mita, A. (2009). PCA-based leakage detection method for water supply systems considering complex Fourier components. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009 (PART 1 ed.). [729234] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7292, No. PART 1). https://doi.org/10.1117/12.815342