Real-time life consumption power modules prognosis using on-line rainflow algorithm in metro applications

Musallam, M.; Johnson, C.M.; Yin, Chunyan; Bailey, C.; Mermet-Guyennet, Michel

doi:10.1109/ecce.2010.5617883

Cited by 37 publications

(15 citation statements)

References 16 publications

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“…10. The original profile has been descaled in amplitude to be suitable for application in the laboratory [82]. Each cycle pattern lasts for 151s and is defined by six distinct phases; an acceleration phase of 41s; a cruise phase of 37s at a speed of 60km/h , a braking phase of 10s, a cruise phase of 11s at a speed of 40km/h, a braking phase of 22s and a stop phase of 30s.…”

Section: A Prediction Of Modules' Life Consumption In Metro-system Amentioning

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.

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139

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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: A Prediction Of Modules' Life Consumption In Metro-system Amentioning

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.

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139

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“…The models are implemented on a DSpace platform [19] along with a fixed frequency PWM current controller in which the current control loop is updated synchronously each PWM cycle. With the knowledge of the operational profile, the power dissipated by each active device within the module is determined, giving the on-state and switching losses as a function of the measured device, load current, and the estimated temperature.…”

Section: Application Examplementioning

confidence: 99%

An Efficient Implementation of the Rainflow Counting Algorithm for Life Consumption Estimation

2012

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In many reliability design and model-based health management applications where load profiles are variable and unpredictable, it is desirable to have efficient cycle counting methods to identify equivalent full and half cycles within the irregular load profile. Conventional cycle-based lifetime models can then be applied directly to provide information about the life consumption of the products. The use of an off-line rainflow algorithm is a common solution for arbitrary loads, but it cannot be applied in real time in its original form. This paper presents an in-line coding algorithm which uses a stack-based implementation, and a recursive algorithm to pick out the equivalent full and half cycles of the irregular load profile. The method can be integrated easily within time-domain or serial data applications to generate equivalent full and half cycles as they occur. Thus it is of particular significance for life estimation in real-time applications where use of the traditional implementations of the counting algorithm is impractical. In comparison with the off-line traditional rainflow method, the on-line method doesn't require any knowledge of the time history of the load profile because it processes each minimum or maximum when it occurs. Therefore, it provides a more efficient cycle counting method using less memory storage, and making more efficient use of computational resources within the real-time environment.

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“…Unlike previous efforts, mainly applying rainflow-counting techniques in offline measurements [6], [7], this paper focuses on the efficient implementation of a rainflow counting algorithm, dealing with the constraints an online implementation imposes. A first effort for a similar approach has been presented in [10], [11]. In the current approach, the runtime performance of the algorithm is enhanced, and the possibility for running it in a real-time control system is demonstrated.…”

Section: Introductionmentioning

confidence: 99%

Challenges and Strategies for a Real-Time Implementation of a Rainflow-Counting Algorithm for Fatigue Assessment of Power Modules

Antonopoulos

DrArco

Hernes

et al. 2019

2019 IEEE Applied Power Electronics Conference and Exposition (APEC)

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The aim of this work is to obtain a reliable estimation of the remaining lifetime of power-electronic modules. Lifetime models provide information on the fatigue durability of power modules under repetitive loading circumstances. However, the thermo-mechanical stresses that a device is exposed to during operation are different than the ones evaluated to create the lifetime models. Rainflow counting provides a tool to analyze and evaluate the stress content of a randomly varying stress waveform, but counting stress cycles while the device is operating is challenging. In this paper, implementation challenges for an online rainflow-counting method are presented, and solutions to overcome them are discussed. An algorithm for online rainflow counting is implemented, and numerical results from tests on experimental device-temperature data are presented.

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Real-time life consumption power modules prognosis using on-line rainflow algorithm in metro applications

Cited by 37 publications

References 16 publications

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

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

An Efficient Implementation of the Rainflow Counting Algorithm for Life Consumption Estimation

Challenges and Strategies for a Real-Time Implementation of a Rainflow-Counting Algorithm for Fatigue Assessment of Power Modules

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