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

fYear

2012

fDate

15-17 March 2012

Firstpage

897

Lastpage

902

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Advances in Information Technology (RAIT), 2012 1st International Conference on

Conference_Location

Dhanbad

Print_ISBN

978-1-4577-0694-3

Type

conf

DOI

10.1109/RAIT.2012.6194586

Filename

6194586