TY - CHAP
T1 - Process monitoring using residuals and fuzzy classification with learning capabilities
AU - Aguilar-Martin, Joseph
AU - Isaza, Claudia
AU - Diez-Lledo, Eduard
AU - Lelann, Marie Veronique
AU - Vilanova, Julio Waissman
PY - 2007
Y1 - 2007
N2 - This paper presents a monitoring methodology to identify complex systems faults. This methodology combines the production of meaningful error signals (residuals) obtained by comparison between the model outputs and the system outputs, with a posterior fuzzy classification. In a first off-line phase (learning) the classification method characterises each fault. In the recognition phase, the classification method identifies the faults. The chose classification method permits to characterize faults non included in the learning data. This monitoring process avoids the problem of defining thresholds for faults isolation. The residuals analysis and not the system variables themselves, permit us to separate fault recognition from system operation point influence. The paper describes the proposed methodology using a benchmark of a two interconnected tanks system.
AB - This paper presents a monitoring methodology to identify complex systems faults. This methodology combines the production of meaningful error signals (residuals) obtained by comparison between the model outputs and the system outputs, with a posterior fuzzy classification. In a first off-line phase (learning) the classification method characterises each fault. In the recognition phase, the classification method identifies the faults. The chose classification method permits to characterize faults non included in the learning data. This monitoring process avoids the problem of defining thresholds for faults isolation. The residuals analysis and not the system variables themselves, permit us to separate fault recognition from system operation point influence. The paper describes the proposed methodology using a benchmark of a two interconnected tanks system.
KW - Faults identification
KW - Faults isolation
KW - Fuzzy classification
KW - Residuals
UR - https://www.scopus.com/pages/publications/58149266664
U2 - 10.1007/978-3-540-72434-6_28
DO - 10.1007/978-3-540-72434-6_28
M3 - Book chapter
AN - SCOPUS:58149266664
SN - 9783540724339
T3 - Advances in Soft Computing
SP - 275
EP - 284
BT - Theoretical Advances and Applications of Fuzzy Logic and Soft Computing
A2 - Castillo, Oscar
A2 - Melin, Patricia
A2 - Ross, Oscar Montiel
A2 - Cruz, Roberto Sepulveda
A2 - Pedrycz, Witold
A2 - Kacprzyk, Janusz
ER -