Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference

Gaussian distribution Diagnoses in Transformer’s Insulating Oil

Authors
Ming-Jong Lin
Corresponding Author
Ming-Jong Lin
Available Online December 2015.
DOI
10.2991/jimet-15.2015.154How to use a DOI?
Keywords
Gaussian distribution, Dissolved gas analysis, Total combustible gases.
Abstract

With the purpose of applying a Gaussian distribution as a diagnostic tool for detecting incipient faults in power transformers, we investigated the fundamental characteristics of Gaussian distribution than theorem of the form – the mean and variance of the uniform distribution to take the parameters of Gaussian distribution that are and 2 (Equation 1). From Gaussian distribution establishes a reference value for comparison. The result of detecting is shown by probability that it is classified - 1 (Flaw) 0 (No flaw) Nu (Probability). The innovative tool not only provided the probability of accuracy and effectiveness, but also showed the result of diagnosis in text and graphs.

Copyright
© 2015, 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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Volume Title
Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
Series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
10.2991/jimet-15.2015.154
ISSN
2352-538X
DOI
10.2991/jimet-15.2015.154How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Ming-Jong Lin
PY  - 2015/12
DA  - 2015/12
TI  - Gaussian distribution Diagnoses in Transformer’s Insulating Oil
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 824
EP  - 830
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.154
DO  - 10.2991/jimet-15.2015.154
ID  - Lin2015/12
ER  -