TY - JOUR
T1 - Markov reliability modeling for induction motor drives under field-oriented control
AU - Bazzi, Ali M.
AU - Dominguez-Garcia, Alejandro
AU - Krein, Philip T.
N1 - Manuscript received August 11, 2010; revised April 5, 2011; accepted September 5, 2011. Date of current version January 9, 2012. This work was supported by the Grainger Center for Electric Machinery and Electromechanics, University of Illinois, Urbana, IL, USA. This paper was presented at the IEEE Applied Power Electronics Conference, Palm Springs, CA, USA, Feb. 2010, based on a previous paper entitled “A method for impact assessment of faults on the performance of field-oriented control drives: A first step to reliability modeling.” Recommended for publication by Associate Editor T. Jahns.
PY - 2012
Y1 - 2012
N2 - This paper presents a Markov reliability model of induction motor drives operating under field-oriented control. The model includes faults in the power electronics, machine, speed encoder, and current sensors. The procedure can be extended for more detail, to other machines and to other drive topologies. To develop the model, faults are first identified, and then, a simulation model of the setup is developed and experimentally verified. Faults are injected into the model in sequential levels and the system performance is assessed after each fault. Fault coverage-the probability that the system survives given a fault has occurred-is studied. A complete Markov reliability model is developed to assess the mean time to failure of the system and other reliability factors. This analysis is shown to be simple and useful for assessing the reliability of motor drives and is expected to help in designing fault-tolerance mechanisms for specific drives, where reliability can be evaluated after every design.
AB - This paper presents a Markov reliability model of induction motor drives operating under field-oriented control. The model includes faults in the power electronics, machine, speed encoder, and current sensors. The procedure can be extended for more detail, to other machines and to other drive topologies. To develop the model, faults are first identified, and then, a simulation model of the setup is developed and experimentally verified. Faults are injected into the model in sequential levels and the system performance is assessed after each fault. Fault coverage-the probability that the system survives given a fault has occurred-is studied. A complete Markov reliability model is developed to assess the mean time to failure of the system and other reliability factors. This analysis is shown to be simple and useful for assessing the reliability of motor drives and is expected to help in designing fault-tolerance mechanisms for specific drives, where reliability can be evaluated after every design.
KW - Fault impact assessment
KW - Markovs reliability model
KW - induction motor drive
UR - https://www.scopus.com/pages/publications/84855698397
UR - https://www.scopus.com/pages/publications/84855698397#tab=citedBy
U2 - 10.1109/TPEL.2011.2168543
DO - 10.1109/TPEL.2011.2168543
M3 - Article
AN - SCOPUS:84855698397
SN - 0885-8993
VL - 27
SP - 534
EP - 546
JO - IEEE Transactions on Power Electronics
JF - IEEE Transactions on Power Electronics
IS - 2
M1 - 6021377
ER -