In-service estimation of state of health of power modules
Eleffendi, Mohd Amir (2016) In-service estimation of state of health of power modules. PhD thesis, University of Nottingham.
The in-service reliability of power electronics modules during their normal operation in their work environment is a major concern for application developers. Failure mechanisms act on power modules limiting their lifetime and leading to unpredictable interruptions of power converter operation. That reduces the availability of power converters and can have large financial and safety implications in applications such as in wind turbines and railway traction. Therefore, many attempts are made to use Physics-of-Failure models to estimate the lifetime of power modules while in service utilizing the rainflow counting algorithm. However, large uncertainty in the lifetime estimate given by Physics-of-Failure methods limits the usefulness of that estimate and cannot help improving the availability of power converters. Condition Monitoring on the other hand provides information about the current health state of power modules based on online measurements of failure indicators that can be obtained from the power modules. This information can be used to inform the prognostics stage to provide an estimate of lifetime based on PoF models and online measurements in a Fusion-based approach such that uncertainty in the resulting lifetime estimate can be reduced.
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