UPM Institutional Repository

Estimation of transformers Health Index based on the Markov Chain


Yahaya, Muhammad Sharil and Azis, Norhafiz and Ab Kadir, Mohd Zainal Abidin and Jasni, Jasronita and Hairi, Mohd Hendra and Talib, Mohd Aizam (2017) Estimation of transformers Health Index based on the Markov Chain. Energies, 10 (11). pp. 1-11. ISSN 1996-1073


This paper presents a study on the application of the Markov Model (MM) to determine the transformer population states based on Health Index (HI). In total, 3195 oil samples from 373 transformers ranging in age from 1 to 25 years were analyzed. First, the HI of transformers was computed based on yearly individual oil condition monitoring data that consisted of oil quality, dissolved gases, and furanic compounds. Next, the average HI for each age was computed and the transition probabilities were obtained based on a nonlinear optimization technique. Finally, the future deterioration performance curve of the transformers was determined based on the MM chain algorithm. It was found that the MM can be used to predict the future transformers condition states. The chi-squared goodness-of-fit analysis revealed that the predicted HI for the transformer population obtained based on MM agrees with the average computed HI along the years, and the average error is 3.59%.

Download File

[img] Text
Estimation of transformers Health Index based on.pdf
Restricted to Repository staff only

Download (1MB)
Official URL or Download Paper: https://www.mdpi.com/1996-1073/10/11/1824

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.3390/en10111824
Publisher: MDPI
Keywords: Transformers; Health Index (HI); Markov Model (MM); Nonlinear optimization; Transition probabilities; Deterioration performance curve; Chi-squared goodness-of-fit; Asset management
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 23 Jan 2019 03:55
Last Modified: 23 Jan 2019 03:55
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/en10111824
URI: http://psasir.upm.edu.my/id/eprint/61767
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item