DocumentCode
2925257
Title
Robust Fault Detection for an Induction Machine
Author
Benloucif, M.L. ; Balaska, H.
Author_Institution
Skikda Univ., Skikda
fYear
2006
fDate
24-26 July 2006
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Congress, 2006. WAC '06. World
Conference_Location
Budapest
Print_ISBN
1-889335-33-9
Type
conf
DOI
10.1109/WAC.2006.375960
Filename
4259876
Link To Document