A Comparative Study into Observer based Fault Detection and Diagnosis in DC Motors: Part-I
A model based fault detection and diagnosis
technique for DC motor is proposed in this paper. Fault detection
using Kalman filter and its different variants are compared. Only
incipient faults are considered for the study. The Kalman Filter
iterations and all the related computations required for fault detection
and fault confirmation are presented. A second order linear state
space model of DC motor is used for this work. A comparative
assessment of the estimates computed from four different observers
and their relative performance is evaluated.
[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] Matlab® LTI models, control system tool box documentation.
[3] Peter. S Maybeck,- Stochastic models-estimation and control- vol.
1, Academy press, New York, 1982.
[4] Grewal M. S and Andrews A. P, ÔÇÿKalman Filtering theory and
practice-, book by Englewood Cliffs, Prentice Hall, 1993.
[5] 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
[6] R.Isermann, Fault -Diagnosis Systems, An introduction from Fault
detection to Fault Tolerance, book, pp. 210-214, 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] Matlab® LTI models, control system tool box documentation.
[3] Peter. S Maybeck,- Stochastic models-estimation and control- vol.
1, Academy press, New York, 1982.
[4] Grewal M. S and Andrews A. P, ÔÇÿKalman Filtering theory and
practice-, book by Englewood Cliffs, Prentice Hall, 1993.
[5] 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
[6] R.Isermann, Fault -Diagnosis Systems, An introduction from Fault
detection to Fault Tolerance, book, pp. 210-214, Springer, 2006.
@article{"International Journal of Electrical, Electronic and Communication Sciences:60052", author = "Padmakumar S. and Vivek Agarwal and Kallol Roy", title = "A Comparative Study into Observer based Fault Detection and Diagnosis in DC Motors: Part-I", abstract = "A model based fault detection and diagnosis
technique for DC motor is proposed in this paper. Fault detection
using Kalman filter and its different variants are compared. Only
incipient faults are considered for the study. The Kalman Filter
iterations and all the related computations required for fault detection
and fault confirmation are presented. A second order linear state
space model of DC motor is used for this work. A comparative
assessment of the estimates computed from four different observers
and their relative performance is evaluated.", keywords = "DC motor model, Fault detection and diagnosis
Kalman Filter, Unscented Kalman Filter", volume = "3", number = "3", pages = "524-6", }