Title :
Model based fault diagnosis of a belt conveyor through parameter estimation
Author :
Ghoshal, S.K. ; Samanta, S.
Author_Institution :
Dept. of Mech. Eng. & MME, Indian Sch. of Mines, Dhanbad, India
Abstract :
In this paper, we have presented a case study and implemented an online fault diagnosis scheme through parameter estimation to a belt conveyor system. Fault indicators are derived from the bond graph model and fault signatures are obtained algorithmically. Thereafter, the model is simulated with parametric fault in some components, and then faulty component is isolated through parameter estimation from analytical redundancy relations (ARR) derived from the model. A singularity problem in estimation of belt stiffness coefficient is exposed, which is solved by designing integral form of ARR.
Keywords :
belts; bond graphs; conveyors; fault diagnosis; parameter estimation; redundancy; analytical redundancy relations; belt conveyors; belt stiffness coefficient; bond graph model; fault indicators; fault signatures; model based fault diagnosis; online fault diagnosis; parameter estimation; parametric fault; Belts; Coherence; Mathematical model; Parameter estimation; Pulleys; Sensors; Vectors; analytical redundancy; bond graphs; fault isolation; parameter estimation; residual; simulation;
Conference_Titel :
Recent Advances in Information Technology (RAIT), 2012 1st International Conference on
Conference_Location :
Dhanbad
Print_ISBN :
978-1-4577-0694-3
DOI :
10.1109/RAIT.2012.6194586
