DocumentCode :
119220
Title :
Algorithm for histogram based fault detection in a CCS-MLI topology
Author :
Agrawal, Rekha ; Jain, Shailendra
Author_Institution :
MANIT, Bhopal, India
fYear :
2014
fDate :
16-19 Dec. 2014
Firstpage :
1
Lastpage :
7
Abstract :
This paper presents an algorithm based on histogram of the inverter output voltage, to detect open switch fault in cross connected sources based multilevel inverter (CCS-MLI) topology. This topology requires less number of components as compared to classical topologies, but may have chances of switch failure. Here load voltage samples are analyzed using histogram pattern for the detection of fault. For a healthy inverter, the histogram pattern is symmetrical around zero. Each open switch fault changes the voltage sample patterns uniquely to indicate appearance of fault. This method does not require additional components, complex calculations and does not depend on the load and feedback loop.
Keywords :
fault diagnosis; invertors; network topology; CCS-MLI topology; cross connected source based multilevel inverter topology; histogram based open switch fault detection; switch failure; voltage sample histogram pattern; Circuit faults; Fault detection; Fault diagnosis; Histograms; Inverters; Switches; Topology; Fault detection; cross connected sources based multilevel inverter (CCS-MLI); multilevel inverter; open-switch fault; voltage histogram pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics, Drives and Energy Systems (PEDES), 2014 IEEE International Conference on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4799-6372-0
Type :
conf
DOI :
10.1109/PEDES.2014.7042088
Filename :
7042088
Link To Document :
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