Title: Multiple fault disambiguations through parameter estimation: a bond graph model-based approach
Authors: S.K. Ghoshal, A.K. Samantaray
Addresses: Systems, Dynamics and Control Laboratory, Department of Mechanical Engineering, Indian Institute of Technology, 721302 Kharagpur, India. ' Systems, Dynamics and Control Laboratory, Department of Mechanical Engineering, Indian Institute of Technology, 721302 Kharagpur, India
Abstract: To ensure safe operation of industrial processes, automated Fault Detection and Isolation (FDI) procedures are implemented in their supervision platforms. In the safety-critical and environmentally hazardous processes, it is impossible to introduce all kinds of faults and then to derive their consequences. Qualitative determination of consequences of different faults can be misleading in complex dynamical systems. Therefore, simulation of a prototype model turns out to be a practical and an economical solution for the development of a complete Knowledge-Base (KB). Consequently, the intelligence acquired by KB from the simulated models is used to fine-tune the Decision Support System (DSS) such that false alarms and misdetections are minimised. A method for model-based multiple FDI by using Analytical Redundancy Relations (ARRs) and parameter estimation is developed in this paper. Parameter estimation is an essential prerequisite for fault accommodation through system reconfiguration or Fault Tolerant Control (FTC). Bond graph modelling is used to describe the process models and then the model is used to derive the ARRs and fault candidates. Parameter values corresponding to the fault-subspace are estimated by minimising a function of the ARRs. Modelling uncertainties arising out of parameter estimation and sensor noise are taken care by using a passive approach for robust FDI. The developed technique is applied to monitor an open-loop non-linear thermo-fluid process.
Keywords: bond graphs; decision support systems; DSS; fault detection and isolation; FDI; intelligent FTC; fault tolerant control; parameter estimation; safety; safe operation; simulation; analytical redundancy relations; modelling; open-loop nonlinear thermofluids.
International Journal of Intelligent Systems Technologies and Applications, 2008 Vol.5 No.1/2, pp.166 - 184
Available online: 05 May 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article