Application of coupled electro-thermal and physics-of-failure-based analysis to the design of accelerated life tests for power modules

Musallam, M.; Yin, Chunyan; Bailey, C.; Johnson, C.M.

doi:10.1016/j.microrel.2013.08.017

Cited by 21 publications

(11 citation statements)

References 36 publications

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“…19 showed that it can last for approximately 2.05x10 8 operating hours. In such applications where variable power cycling load profiles were applied to the converters, it was noticed that wire bond fails earlier [77]. Based on the tests and observations in this work, wire-bond failures can be considered the dominant failure mechanism and the estimated life of the converter can be measured as the estimated life of the wire bonds.…”

Section: B Prediction Of Modules' Life Consumption In Wind Turbine Amentioning

confidence: 83%

“…Thus, the model in equation (10) predicts an unrealistic finite life at zero ΔT and is thus not suitable for general reliability prediction. To avoid this problem, a revised functional form of the model in (10) is used in which the coefficients are functions of the mean temperature as in the following equation [77]:…”

Section: Thermo-mechanical Models (Damage Models)mentioning

confidence: 99%

See 1 more Smart Citation

Mission Profile-Based Reliability Design and Real-Time Life Consumption Estimation in Power Electronics

Musallam

Yin

Bailey

et al. 2015

IEEE Trans. Power Electron.

Self Cite

143

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A note on versions:The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription.For more information, please contact eprints@nottingham.ac.ukManuscript ID TPEL-Reg-2014-04-0475.R2 1  Abstract-Power electronics are efficient for conversion and conditioning of the electrical energy through a wide range of applications. Proper life consumption estimation methods applied for power electronics that can operate in real-time under inservice mission profile conditions will not only provide an effective assessment of the products life expectancy but also they can deliver reliability design information. This is important to aid in manufacturing and thus help in reducing costs and maximizing through-life availability. In this paper, a mission profile based approach for real-time life consumption estimation which can be used for reliability design of power electronics is presented. The paper presents the use of electro-thermal models coupled with physics-of-failure analysis by means of real-time counting algorithm to provide accurate life consumption estimations for power modules operating under in-service conditions. These models, when driven by the actual mission profiles, can be utilized to provide advanced warning of failures and thus deliver information that can be useful to meet particular application requirements for reliability at the design stage. To implement this approach, an example of two case studies using mission profiles of a metro-system and wind-turbines applications are presented.

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Section: B Prediction Of Modules' Life Consumption In Wind Turbine Amentioning

confidence: 83%

Section: Thermo-mechanical Models (Damage Models)mentioning

confidence: 99%

Mission Profile-Based Reliability Design and Real-Time Life Consumption Estimation in Power Electronics

Musallam

Yin

Bailey

et al. 2015

IEEE Trans. Power Electron.

Self Cite

143

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“…The typical physics-based acceleration models include Arrhenius model, Eyring model, etc. (Escobar and Meeker, 2006), while the empirical acceleration models include, for example, Coffin-Manson model (Musallam et al, 2014), etc. A general log-linear form of the model can be written, whose vector of unknown parameters can be obtained by maximizing the corresponding loglikelihood functions.…”

Section: Accelerated Degradation Testingmentioning

confidence: 99%

Some Challenges and Opportunities in Reliability Engineering

Zio

2016

IEEE Trans. Rel.

174

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Today's fast-pace evolving and digitalizing World is posing new challenges to reliability engineering. On the other hand, the continuous advancement of technical knowledge and the increasing capabilities of monitoring and computing offer opportunities for new developments in reliability engineering. In this paper, I reflect on some of these challenges and opportunities in research and application. The underlying perspective taken stands on:  the belief that the knowledge, information and data (KID) available for the modeling, computations and analyses done in reliability engineering is substantially grown and continue to do so;  the belief that the technical capabilities for reliability engineering have been significantly advanced;  the recognition of the increased complexity of the systems, nowadays more and more made of heterogeneous, highly interconnected elements. In line with this perspective, opportunities and challenges for reliability engineering are discussed in relation to degradation modeling and integration of multi-state and physics-based models therein, accelerated degradation testing, component-, system-and fleet-wide prognostics and health management in evolving environments. The paper is not a review, nor a state of the art work, but rather it offers a vision of reflection on reliability engineering, for consideration and discussion by the interested scientific community. It does not pretend to give the unique view, nor to be complete in the subject discussed and the related literature referenced to.

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“…The typical physics-based acceleration models include the Arrhenius model, Eyring model, etc. [9], while the empirical acceleration models include the Coffin-Manson model [42], etc. A general log-linear form of the model can be written as…”

Section: B Acceleration Model With Normalized Stressmentioning

confidence: 99%