Study on the Transducer Power Electronic Circuits Fault Diagnosis Based on SVM

DOI

10.2991/iceep-18.2018.60How to use a DOI?

Keywords

SVM;Radial basis function; Transducer;Power electronic circuits;Fault diagnosis

Abstract

The main circuit of inverter power transform fault mode analysis in the paper, using multiple support vector machine (SVM), implements the main circuit of inverter power transform fault diagnosis. In equipment fault diagnosis, online or offline to analyze the circuit, its running state, the learning ability of neural network, the fault parameters and the relationship between the cause of the problem through neural network learning after stored in its structure and power, you can through the analysis of fault parameters, it is concluded that the cause of the problem, so as to realize the automatic diagnosis of faults. Four characteristic parameters of reflecting fault state are distilled with analysis fault types and reasons of transducer power electronic circuits. Identification of fault mode can be completed utilizing multiply support vector machine(MSVM).

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jianyong Li
AU  - Yanqiu Yang
AU  - Rui Li
AU  - Yu Lei
PY  - 2018/09
DA  - 2018/09
TI  - Study on the Transducer Power Electronic Circuits Fault Diagnosis Based on SVM
BT  - Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)
PB  - Atlantis Press
SP  - 351
EP  - 355
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-18.2018.60
DO  - 10.2991/iceep-18.2018.60
ID  - Li2018/09
ER  -