Titre :	Failure identification methods for detecting leaks in pipelines and sensor faults
Type de document :	texte imprimé
Auteurs :	Benkherouf, Abdelkrim, Auteur ; A. Y. Allidina, Directeur de thèse
Editeur :	Manchester : [s.n.]
Année de publication :	1985
Importance :	152 f.
Présentation :	ill.
Format :	30 cm.
Note générale :	Phd Thesis : Mechanical engineering : Victoria University of Manchester : 1985 Bibliogr. f. 153 - 156 . - Annexe f. 157 - 168
Langues :	Anglais (eng)
Mots-clés :	Pumps Filters Pipes Tubing Valves Pumping machinery Pipe Manufacturing processes Automatic control
Index. décimale :	D006385
Résumé :	This thesis is concerned with the problem of detection and localisation of leaks in gas pipelines, and with the problem of sensor fault identification in large scale systems. Three different leak detection schemes are described in the first part of the thesis. The first method is based on the application of a model adjustment procedure to the Distributed Parameter (DP) system governing the gas flow process. In the other two methods, the estimation and localisation of the leak is achieved by using a Kalman filter for the DP system. Simulated observations are used to assess and compare the various methods. The second part of the thesis proposes a new approach for identifying sensor faults in large scale systems, using over-lapping decomposition and decentralised state estimation. A system with three sensors is used to illustrate the approach.

Failure identification methods for detecting leaks in pipelines and sensor faults [texte imprimé] / Benkherouf, Abdelkrim, Auteur ; A. Y. Allidina, Directeur de thèse . - Manchester : [s.n.], 1985 . - 152 f. : ill. ; 30 cm.
Phd Thesis : Mechanical engineering : Victoria University of Manchester : 1985
Bibliogr. f. 153 - 156 . - Annexe f. 157 - 168
Langues : Anglais (eng)

Mots-clés :	Pumps Filters Pipes Tubing Valves Pumping machinery Pipe Manufacturing processes Automatic control
Index. décimale :	D006385
Résumé :	This thesis is concerned with the problem of detection and localisation of leaks in gas pipelines, and with the problem of sensor fault identification in large scale systems. Three different leak detection schemes are described in the first part of the thesis. The first method is based on the application of a model adjustment procedure to the Distributed Parameter (DP) system governing the gas flow process. In the other two methods, the estimation and localisation of the leak is achieved by using a Kalman filter for the DP system. Simulated observations are used to assess and compare the various methods. The second part of the thesis proposes a new approach for identifying sensor faults in large scale systems, using over-lapping decomposition and decentralised state estimation. A system with three sensors is used to illustrate the approach.