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 are collected and the Fourier components are obtained through the short-time Fourier transform (STFT). Then the principal component analysis (PCA) is applied to complex Fourier components, and feature vectors are created from PCA parameters. Based on it, the Support Vector Machine (SVM) is built. The results show that the proposed method could achieve a very high accuracy.
| Original language | English |
|---|---|
| Pages (from-to) | 965-972 |
| Number of pages | 8 |
| Journal | Journal of Environmental Engineering |
| Volume | 74 |
| Issue number | 642 |
| DOIs | |
| Publication status | Published - 2009 Aug |
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Keywords
- Principal Component Analysis
- Support Vector Machine
- Time Frequency Analysis
- Water Leakage Detection
ASJC Scopus subject areas
- Environmental Engineering
Cite this
PCA based water leakage detection method using complex fourier components. / Kondo, Chikako; Mita, Akira.
In: Journal of Environmental Engineering, Vol. 74, No. 642, 08.2009, p. 965-972.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - PCA based water leakage detection method using complex fourier components
AU - Kondo, Chikako
AU - Mita, Akira
PY - 2009/8
Y1 - 2009/8
N2 - 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 are collected and the Fourier components are obtained through the short-time Fourier transform (STFT). Then the principal component analysis (PCA) is applied to complex Fourier components, and feature vectors are created from PCA parameters. Based on it, the Support Vector Machine (SVM) is built. The results show that the proposed method could achieve a very high accuracy.
AB - 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 are collected and the Fourier components are obtained through the short-time Fourier transform (STFT). Then the principal component analysis (PCA) is applied to complex Fourier components, and feature vectors are created from PCA parameters. Based on it, the Support Vector Machine (SVM) is built. The results show that the proposed method could achieve a very high accuracy.
KW - Principal Component Analysis
KW - Support Vector Machine
KW - Time Frequency Analysis
KW - Water Leakage Detection
UR - http://www.scopus.com/inward/record.url?scp=79954567394&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79954567394&partnerID=8YFLogxK
U2 - 10.3130/aije.74.965
DO - 10.3130/aije.74.965
M3 - Article
AN - SCOPUS:79954567394
VL - 74
SP - 965
EP - 972
JO - Journal of Environmental Engineering (Japan)
JF - Journal of Environmental Engineering (Japan)
SN - 1348-0685
IS - 642
ER -