Title :
Robust Fault Detection for an Induction Machine
Author :
Benloucif, M.L. ; Balaska, H.
Author_Institution :
Skikda Univ., Skikda
Abstract :
This paper presents an application of model-based residual generation for fault detection and isolation (FDI) to an induction machine. A scheme of observers with nonlinear decoupling is used for residual generation. The resulting residuals are robust to load torque disturbances and to parameter uncertainties such as moment of inertia and friction while being sensitive to stator and rotor electrical faults.
Keywords :
asynchronous machines; fault diagnosis; observers; rotors; stators; torque; fault isolation; friction; induction machine; load torque disturbances; model-based residual generation; moment of inertia; nonlinear decoupling; observers; parameter uncertainties; robust fault detection; rotor electrical faults; stator electrical faults; Electrical fault detection; Fault detection; Friction; Induction generators; Induction machines; Robustness; Rotors; Stators; Torque; Uncertain systems; Fault Diagnosis; Induction machine; Nonlinear system; Observer; Residual generation; Robustness;
Conference_Titel :
Automation Congress, 2006. WAC '06. World
Conference_Location :
Budapest
Print_ISBN :
1-889335-33-9
DOI :
10.1109/WAC.2006.375960
