@inproceedings{73d3501bcdcb48a4a9ce0e8e0558dcd6,
title = "Fuzzy clustering and classification for automated leak detection systems",
abstract = "A methodology for pipeline integrity monitoring systems using a mixture of clustering and classification tools for fault detection is presented here. The approach is used to classify more readily faults or changes in the context of on-line leak detection with initially off-line training. The methodology is applied to a small-scale pipeline monitoring case where portability, robustness and reliability are amongst the most important criteria. The results are encouraging as relatively low levels of false alarms and increased fault detection are obtained.",
keywords = "Classifiers, Fault detection, Fault diagnosis, Methodology, Pattern recognition",
author = "Nathalie Taillefond and Olaf Wolkenhauer",
note = "Publisher Copyright: Copyright {\textcopyright} 2002 IFAC.; 15th World Congress of the International Federation of Automatic Control, 2002 ; Conference date: 21-07-2002 Through 26-07-2002",
year = "2002",
doi = "10.3182/20020721-6-es-1901.00799",
language = "English",
isbn = "9783902661746",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "1",
pages = "407--411",
editor = "Gabriel Ferrate and Camacho, \{Eduardo F.\} and Luis Basanez and \{de la Puente\}, \{Juan. A.\}",
booktitle = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
edition = "1",
}