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Effective fault diagnosis for mission-critical and safety-critical systems has been an essential and mandatory technique to reduce failure rate and to prevent unscheduled shutdown. A novel optimization deep belief network (DBN) in this study has been proposed for a closed-loop single-ended primary-inductance converter (SEPIC) fault diagnosis. Firstly, the wavelet packet decomposition technique is...
Prognosis of DC-DC power converters is necessary in embedded and safety critical applications to prevent further damages. However, most of the prognostic methods of power converters are focus on the critical components of the converters. Furthermore, the methods seldom consider the effect of changes in operating conditions (e.g. power supply and load). In order to address these problems, an innovative...
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