Fault diagnosis for power electronic inverters: A model-based approach

Each power electronic converter contains several semiconductor switches which are subject to faults. In this paper, an online model-based diagnosis algorithm is applied to a dc-ac half-bridge (HB) inverter to isolate switch faults. The circuit is modelled with hybrid bond graph (HBG) and the residua...

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Bibliographic Details
Published in:2011IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drive pp. 221 - 228
Main Authors: Alavi, M., Ming Luo, Danwei Wang, Danhong Zhang
Format: Conference Proceeding
Language:English
Published: IEEE 01.09.2011
Subjects:
Bond graph
Circuit faults
Detectors
diagnosis
Equations
fault diagnosis
hybrid bond graph
Integrated circuit modeling
inverter
Inverters
isolation
Mathematical model
modelling
switch faults
Switches
ISBN:1424493013, 9781424493012
Online Access:Get full text
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Summary:Each power electronic converter contains several semiconductor switches which are subject to faults. In this paper, an online model-based diagnosis algorithm is applied to a dc-ac half-bridge (HB) inverter to isolate switch faults. The circuit is modelled with hybrid bond graph (HBG) and the residuals are generated. The fault signature matrix (FSM) is used to determine the minimum number of detectors for isolable faults. A mode detection algorithm is proposed to estimate switch states. Short circuit switch faults are detected and isolated with the proposed mode detection algorithm. Least square method is adopted to identify the component faults. Incipient and abrupt faults in the power electronic inverter in switches, detectors, or other components are isolable using this model based approach.
ISBN:1424493013
9781424493012
DOI:10.1109/DEMPED.2011.6063627