Research on Oil-immersed Transformer Fault Diagnosis Method Based on Improved Extension Set on Intervals

DOI

10.2991/fmsmt-17.2017.49How to use a DOI?

Keywords

transformer fault diagnosis, improved analytic hierarchy process, extension set on intervals, maximum subordination principle

Abstract

To solve the following problems during Transformer Fault Diagnosis: high misdiagnosis rate, calculation complexity, low recognition rate and so on, Oil-immersed Power Transformer fault diagnosis method based on Improved Interval Extension is put forward. First, Improved Extension Set on Intervals fault diagnosis model is established by interval extension method; then, the improved analytic hierarchy process is used to calculate and select the fault feature weight value of typical gases in oil,and the classical and joint domain are obtained according to fault feature standard sequence of typical gases in oil. Finally, the fault type of the object to be diagnosed can be obtained by relevancy calculation and the maximum subordination principle. Then, a test based on 30 sets of data from each fault type is carried out, the result of which verify the effectiveness of the method proposed.

Copyright

© 2017, 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  - Huayanran Zhou
PY  - 2017/04
DA  - 2017/04
TI  - Research on Oil-immersed Transformer Fault Diagnosis Method Based on Improved Extension Set on Intervals
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 231
EP  - 236
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.49
DO  - 10.2991/fmsmt-17.2017.49
ID  - Zhou2017/04
ER  -