Title :
Fault Diagnosis by an Observer-Based Fuzzy Decision System
Author :
Ye, Dapeng ; Zhang, Chunliang ; Lin, Paul P.
Author_Institution :
Dept. of Mech. & Electr. Eng., Fujian Agric. & Forestry Univ., China
Abstract :
This paper deals with the problem of nonlinear system fault detection by using extended state observer (ESO) and fuzzy logic. Most of observer-based fault diagnosis methods require a nominal mathematical model of the system. However, the extended state observer can provide vital information for fault detection with only partial information of the plant, which can not be easily accomplished with any existing observer-based methods. In this paper, the ESO can be applied to generate signatures, called residuals, which are indicative of the presence of faults in the system, and then, the generation of residuals can be evaluated by fuzzy decision system to make fault diagnosis decisions. Another advantage of this observer is its simplicity in tuning only a single parameter, which is a trade-off between the tracking speed and the sensitivity to measurement noise. A strongly coupled three-tank nonlinear dynamic system is chosen as a case study. The simulation results indicate that the presented ESO-based fuzzy decision system effectively detected faults for nonlinear system.
Keywords :
decision making; fault diagnosis; fuzzy logic; fuzzy reasoning; fuzzy systems; nonlinear dynamical systems; observers; redundancy; ESO-based fuzzy decision making system; extended state observer; fuzzy inference engine; fuzzy logic; mathematical model; measurement noise sensitivity; nonlinear system fault detection; observer-based analytical redundancy; observer-based fault diagnosis method; residual generation; signature generation; strongly coupled three-tank nonlinear dynamic system; tracking speed; Couplings; Fault detection; Fault diagnosis; Fuzzy logic; Fuzzy systems; Mathematical model; Noise measurement; Nonlinear dynamical systems; Nonlinear systems; Velocity measurement; Extended state observer; Fault diagnosis; Fuzzy logic; Nonlinear system;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
Conference_Location :
Hangzhou, Zhejiang
Print_ISBN :
978-0-7695-3752-8
DOI :
10.1109/IHMSC.2009.173