Reliability Prediction of Interleaved Boost Converter using Bayesian Belief Network

The power electronic converters are an integral part of the energy systems. There are wide range of applications of the converters from energy conversions to motor drives. With the increasing renewable energy sources, the need for intermediate DC – DC converters have also increased tremendously. Interleaved Boost Converter (IBC) is a more commonly used DC – DC converter, as it can work on stages thereby reducing the stress across the components. Along with the performance of a converter, its reliability also greatly decides the choice of the converters for an application. The reliability study of the converters plays a vital role in designing the safety systems for the converter. The paper presents the reliability prediction of IBC using Bayesian Belief Network (BBN) in detail.