An innovative procedure for reliability assessment of power electronics equipped systems: a real case study

Fazio, Vincenzo; Savio, S.; Firpo, P.

doi:10.1109/isie.2000.930350

Cited by 7 publications

(2 citation statements)

References 8 publications

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“…Initially, the estimation of lifetime and reliability of power electronics is based on a deterministic calculation of time-to-failure or cycleto-failure for a certain loading/mission profile [3]- [5]. Later on, a statistical analysis, which represents uncertainty in the modeling process introduced by parameter variation, e.g., due to manufacturing tolerance, [6], [7] has also been included in the reliability analysis of power electronics systems [8], [9]. The above requirements are very suitable to be implemented using Monte Carlo simulation [10], and it has been widely adopted for the reliability assessment in power electronics applications [11]- [16].…”

Section: Introductionmentioning

confidence: 99%

Monte Carlo Simulation With Incremental Damage for Reliability Assessment of Power Electronics

Sangwongwanich

Blaabjerg

2021

IEEE Trans. Power Electron.

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Monte Carlo simulations have been widely used in the reliability assessment of power electronics systems. However, the conventional Monte Carlo simulation method is not directly suitable to be applied to the system with fault-tolerant operation, where the accumulated damage during the pre-fault operation needs to be taken into account as an initial damage during the post-fault operation. To address this issue, a Monte Carlo simulation method based on incremental damage concept is proposed in this letter. The proposed method recursively accumulates the damage over time, making it possible to monitor the damage level of the individual sample when the failure occurs, and then being used as the initial damage during the post-fault operation. Therefore, it can be applied to the power converters with faulttolerant operation, which has been demonstrated with a case study of three-phase inverter having a fault-tolerant topology.

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Section: Introductionmentioning

confidence: 99%

Monte Carlo Simulation With Incremental Damage for Reliability Assessment of Power Electronics

Sangwongwanich

Blaabjerg

2021

IEEE Trans. Power Electron.

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“…Considering working and failure conditions of each component [2][3][4][5][6][7][8][9] and a suitable model for reliability study is obtained.…”

Section: Introductionmentioning

confidence: 99%

Markov Model of Drive-Motor Systems for Reliability Calculation

Molaei

Oraee

Fotuhi‐Firuzabad

2006

2006 IEEE International Symposium on Industrial Electronics

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Due to considerable use of electric drives in industrial applications, reliability assessment of drive-motor systems both in design and operating phases is of considerable importance. Reliability assessment of drive-motor systems is presented in this paper. Using the basic component of a drivemotor system, a suitable reliability block diagram is first developed. The system availability and reliability is then determined using developed block diagram. The impacts on system reliability of various parameters such as failure rate and repair rate of system components are investigated. The proposed technique is then applied to a practical drive-motor system and the results are presented.

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Effect of MTTF and MTTR statistical uncertainty on mission dependability for power electronics equipped systems

Fazio

Firpo²,

Savio³

ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)

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An innovative procedure for reliability assessment of power electronics equipped systems: a real case study

Cited by 7 publications

References 8 publications

Monte Carlo Simulation With Incremental Damage for Reliability Assessment of Power Electronics

Monte Carlo Simulation With Incremental Damage for Reliability Assessment of Power Electronics

Markov Model of Drive-Motor Systems for Reliability Calculation

Effect of MTTF and MTTR statistical uncertainty on mission dependability for power electronics equipped systems

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