Open AccessOpen-Circuit Fault Detection Technique for Fault-Tolerant Bridgeless Boost Rectifier
Author(s) -
R. K. Abdul Razak,
Khairul Safuan Muhammad,
Rahimi Baharom,
Aman Mohd Ihsan Mamat
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.15.17523
Subject(s) - fault (geology) , rectifier (neural networks) , computer science , inductor , fault detection and isolation , power (physics) , scheme (mathematics) , electronic engineering , boost converter , voltage , engineering , electrical engineering , artificial neural network , mathematical analysis , physics , stochastic neural network , mathematics , quantum mechanics , machine learning , seismology , recurrent neural network , actuator , geology
Unexpected failure in one of the switches in a converter will lessen the performance of a system and may even prompt to a system failure. Therefore, to reduce the failure rate and to prevent unscheduled shutdown, a real-time fault detection is necessary. In this paper, a new technique to identify the exact location of the faulty switch based on single-phase bridgeless boost converter is proposed. The faulty switch is detected by analyzing the boost inductor current, switching mode and cycle of the input power supply. The information of the faulty switch will be used to redirect the current to any available path. Therefore, an uninterruptable and reliable power supply could be developed. The analysis of the proposed fault detection scheme is done by using PSIM simulation software.