An Investigative Study into Observer based Non-Invasive Fault Detection and Diagnosis in Induction Motors
A new observer based fault detection and diagnosis
scheme for predicting induction motors- faults is proposed in this
paper. Prediction of incipient faults, using different variants of
Kalman filter and their relative performance are evaluated. Only soft
faults are considered for this work. The data generation, filter
convergence issues, hypothesis testing and residue estimates are
addressed. Simulink model is used for data generation and various
types of faults are considered. A comparative assessment of the
estimates of different observers associated with these faults is
included.
[1] Nandi S.,Toliyat H.A, Ziaodong Li, "condition monitoring and
fault diagnosis of electrical machines - a review," in IEEE trans. on
Energy Conv, vol. 20, no. 4, pp. 709-729, Dec. 2005.
[2] Bilal Akin, Umut Organer, Aydin Ersak, Mehrdad Ehsani, "Simple
derivative-free nonlinear state observer for sensorless ac drives",
IEEE/ASME Trans. on mechatronics, pp. 634-643, Vol. 11, No. 5,
Oct. 2006.
[3] Debasmita Basak, Arwind Tiwari, S..P. Das "Fault diagnosis and
condition monitoring of electrical machines - A Review" ,IEEE
international conference p.3061 - 3066,ICIT-2006, 15-17 Dec.
2006
[4] P. Vas "Sensorless Vector and Direct Torque Control" New York
O. University Press, (1998)
[5] Marcin Witczak, Modelling and Estimation Strategies for Fault
Diagnosis of Non-Linear Systems, from Analytical to Soft
Computing approaches, p.56, Springer , 2007.
[6] Simo Särkkä, "On Unscented Kalman Filtering for state estimation
of Continues time Non-Linear Systems," IEEE transactions on
automatic contol, Vol.24, No.9, September 2007, p.
[7] J. Prakash, S.C. Patwardhan, S. Narasimhan, "A supervisory
approach to fault tolerant control of linear multivarioable systems",
Ind. Eng. Chem. Res, Vol.. 41, pp. 2270-2281, 2002.
[8] R.Isermann, Fault -Diagnosis Systems, An introduction from Fault
detection to Fault Tolerance, book, p. 210 Springer, 2006.
[1] Nandi S.,Toliyat H.A, Ziaodong Li, "condition monitoring and
fault diagnosis of electrical machines - a review," in IEEE trans. on
Energy Conv, vol. 20, no. 4, pp. 709-729, Dec. 2005.
[2] Bilal Akin, Umut Organer, Aydin Ersak, Mehrdad Ehsani, "Simple
derivative-free nonlinear state observer for sensorless ac drives",
IEEE/ASME Trans. on mechatronics, pp. 634-643, Vol. 11, No. 5,
Oct. 2006.
[3] Debasmita Basak, Arwind Tiwari, S..P. Das "Fault diagnosis and
condition monitoring of electrical machines - A Review" ,IEEE
international conference p.3061 - 3066,ICIT-2006, 15-17 Dec.
2006
[4] P. Vas "Sensorless Vector and Direct Torque Control" New York
O. University Press, (1998)
[5] Marcin Witczak, Modelling and Estimation Strategies for Fault
Diagnosis of Non-Linear Systems, from Analytical to Soft
Computing approaches, p.56, Springer , 2007.
[6] Simo Särkkä, "On Unscented Kalman Filtering for state estimation
of Continues time Non-Linear Systems," IEEE transactions on
automatic contol, Vol.24, No.9, September 2007, p.
[7] J. Prakash, S.C. Patwardhan, S. Narasimhan, "A supervisory
approach to fault tolerant control of linear multivarioable systems",
Ind. Eng. Chem. Res, Vol.. 41, pp. 2270-2281, 2002.
[8] R.Isermann, Fault -Diagnosis Systems, An introduction from Fault
detection to Fault Tolerance, book, p. 210 Springer, 2006.
@article{"International Journal of Electrical, Electronic and Communication Sciences:53459", author = "Padmakumar S. and Vivek Agarwal and Kallol Roy", title = "An Investigative Study into Observer based Non-Invasive Fault Detection and Diagnosis in Induction Motors", abstract = "A new observer based fault detection and diagnosis
scheme for predicting induction motors- faults is proposed in this
paper. Prediction of incipient faults, using different variants of
Kalman filter and their relative performance are evaluated. Only soft
faults are considered for this work. The data generation, filter
convergence issues, hypothesis testing and residue estimates are
addressed. Simulink model is used for data generation and various
types of faults are considered. A comparative assessment of the
estimates of different observers associated with these faults is
included.", keywords = "Extended Kalman Filter, Fault detection and
diagnosis, Induction motor model, Unscented Kalman Filter", volume = "3", number = "3", pages = "451-6", }