A Combined RMS-MEAN Value Approach for an Inverter Open-Circuit Fault Detection
  • Metaadatok
Tartalom: https://pp.bme.hu/eecs/article/view/13605
Archívum: PP Electrical Engineering and Computer Science
Gyűjtemény: Articles
Cím:
A Combined RMS-MEAN Value Approach for an Inverter Open-Circuit Fault Detection
Létrehozó:
Khelif, Mohamed Amine
Bendiabdellah, Azeddine
Cherif, Bilal Djamal Eddine
Kiadó:
Budapest University of Technology and Economics (BME)
Dátum:
2019-04-05
Tartalmi leírás:
Currently, with the power electronics evolution, a major research axis is oriented towards the diagnosis of converters supplying induction machines. Indeed, a converter such as the inverter is susceptible to have structural failures such as faulty leg and/or open-circuit IGBT faults. In this paper, the detection of the faulty leg and the localization of the open-circuit switch of an inverter are investigated. The fault detection technique used in this work is based essentially upon the monitoring of the root mean square (RMS) value and the calculation of the mean value of the three-phase currents. In the first part of the paper work, the faulty leg is detected by monitoring the RMS value of the three-phase currents and comparing them to the nominal value of the phase current. The second part, the open-circuit IGBT fault is localized simply by knowing the polarity of the calculated mean value current of the faulty phase. The work is first accomplished using simulation work and then the obtained simulation results are validated by experimental work conducted in our LDEE laboratory to illustrate the effectiveness, simplicity and rapidity of the proposed technique.
Nyelv:
angol
Típus:
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Formátum:
application/pdf
Azonosító:
10.3311/PPee.13605
Forrás:
Periodica Polytechnica Electrical Engineering and Computer Science; Vol 63 No 3 (2019); 169-177
2064-5279
2064-5260
Kapcsolat:
Létrehozó:
Copyright (c) 2019 Periodica Polytechnica Electrical Engineering and Computer Science