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

Chikako Kondo; Akira Mita

doi:10.1117/12.815342

30 March 2009 PCA-based leakage detection method for water supply systems considering complex Fourier components

Chikako Kondo, Akira Mita

Proceedings Volume 7292, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009; 729234 (2009) https://doi.org/10.1117/12.815342
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2009, San Diego, California, United States

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.

Citation Download Citation

Chikako Kondo and Akira Mita "PCA-based leakage detection method for water supply systems considering complex Fourier components", Proc. SPIE 7292, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009, 729234 (30 March 2009); https://doi.org/10.1117/12.815342

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
10 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Principal component analysis

Fourier transforms

Acoustics

Complex systems

Feature extraction

Roads

Time-frequency analysis

Show All Keywords

Keywords/Phrases

Search In:

Publication Years