Robust water leakage detection approach using the sound signals and pattern recognition

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6932, Issue , 2008, Pages

  Terao, Yuriko ^a   Mita, Akira ^a  

^a KEIO UNIVERSITY   (Japan)

Author keywords

Itakura distance; Leak detection; Support vector machine

Indexed keywords

DATA STRUCTURES; EIGENVALUES AND EIGENFUNCTIONS; MICROPHONES; PATTERN RECOGNITION; ROBUST CONTROL; SUPPORT VECTOR MACHINES; WATER SUPPLY SYSTEMS;

AUTOMATIC LEAK DETECTION; ITAKURA DISTANCE; SOUND SIGNALS;

LEAK DETECTION;

EID: 44349101094     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.775968     Document Type: Conference Paper

References (4)

1. Sato, T. and A. Mita, 'Leak detection using the pattern of sound signals in water supply systems', SPIE6529-83, 65292K-1-9 (2007)
2. Xuan Kong, Vaibhava Goel, Nitish Thakor, 'Quantification of injury-related eeg signal changes using itakura distance measure' IEEE Acoustics, Speech, and Signal Processing Vol.5, 2947-2950 (1995)
3. Vapnik and V.N., 'The Nature of Statistical Learning Theory', ISBN 0-387-94559-8, Springer (1995)
4. Nello Christianini and Jhon Shawe-Taylor, 'An Introduction to Support Vector Machines', ISBN 0-521-78019-5, Cambridge University Press (2000)