The measuring chain has been designed to be used in unfavorable environments where neither electric power nor telecommunication infrastructures are available. The system measures temperature and atmospheric pressure in an archeological site where a fresco has been put under control. It is demonstrated in a case study of photovoltaic (PV)inverter application that the reliability of power converter can be overestimated up to 30% when using the static parameters.Ī new acquisition system for remote control of wall paintings has been realized and tested in the field. Two additional MC simulation approaches based on semi-dynamic and dynamic parameters are proposed, and their reliability evaluation results are compared with the traditional static parameter method. To address this issue, an in-depth analysis of MC simulation applied to reliability assessment of power devices in power electronic systems is provided in this paper. This can significantly affect both the accuracy and computation burden. Moreover, the previous research did not take into account the correlation between the method of introducing the parameter variation and the required number of simulations. However, this simplification may introduce a certain uncertainty during the reliability assessment, since the static parameters may not be able to accurately represent the thermal stress under highly dynamic conditions. In the previous mission-profile based reliability assessment methods, the dynamic thermal stress profiles are usually converted into a set of static parameters. In this approach, multiple simulations are carried out during the lifetime estimation of the components in power converter, where the parameter variations are considered. Monte Carlo (MC) simulation has been widely used for reliability assessment of power electronic systems. Thus, it is not possible to apply the traditional MC model for analyzing the reliability of FT power converters when wear-out failures are considered To address this issue, a reliability evaluation method for FT power converters considering wear-out failures is proposed in this paper. While this constraint is aligned with the assumption of constant failure rate of power converters in the past (e.g., in the middle phase of the bathtub curve), the same condition is not applicable for modern power converters whose useful life is expected to cover also the initial phase of the wear-out period. One main constraint of the MC model is that the probability of transitioning between states (i.e., failure rate) is constant, e.g., λ(t) = λ. In the previous research, the reliability analysis of faulttolerant power converters is carried out using a Markov Chain (MC) model, , which represents the power converter in several states together with the probability of transition between states as shown in Fig.
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