IRO Journals

Journal of Electrical Engineering and Automation

Comparative analysis of Direct and Indirect Model Reference Adaptive Control by Extended Kalman Filter
Volume-3 | Issue-3

Smart Wires and Modular FACTS Controllers for Smart Grid Applications: A Review
Volume-3 | Issue-4

Integrated Renewable Energy Management System for Reduced Hydrogen Consumption using Fuel Cell
Volume-3 | Issue-1

Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3

Artificial Intelligence based Business Process Automation for Enhanced Knowledge Management
Volume-3 | Issue-2

Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2

Design of Effective Smart Communication System for Impaired People
Volume-2 | Issue-4

Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
Volume-3 | Issue-3

Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2

A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4

Power Transfer Capability Recognition in Deregulated System under Line Outage Condition Using Power World Simulator
Volume-3 | Issue-4

Transformer Oil Diagnostic Tests Analysis using Statistical Correlation Technique
Volume-4 | Issue-3

Design of Inverter Voltage Mode Controller by Backstepping Technique for Nonlinear Power System Model
Volume-3 | Issue-4

Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
Volume-3 | Issue-3

Performance Analysis of Multiple Pico Hydro Power Generation
Volume-2 | Issue-2

Energy Efficient Data Mining Approach for Estimating the Diabetes
Volume-3 | Issue-2

Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3

Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2

A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4

Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2

Home / Archives / Volume-4 / Issue-3 / Article-2

Volume - 4 | Issue - 3 | september 2022

Transformer Oil Diagnostic Tests Analysis using Statistical Correlation Technique
C. M. Maheshan  , H. Prasanna Kumar
Pages: 144-158
Cite this article
Maheshan, C. M. & Kumar, H. P. (2022). Transformer Oil Diagnostic Tests Analysis using Statistical Correlation Technique. Journal of Electrical Engineering and Automation, 4(3), 144-158. doi:10.36548/jeea.2022.3.002
Published
23 August, 2022
Abstract

This research study presents a real time data analysis on the diagnostic tests of four different service transformers by using a statistical correlation technique. Transformers are essentially passive devices that supply desired voltage at a specified frequency. Transformer oil performs two different functions within all power transformers: insulation and cooling. The quality of the transformer oil depends on the performance of this continuously working equipment. Hence it is required to conduct a concurrent scheduled as well as unscheduled diagnostic tests. The proposed analysis has considered the dielectric strength or breakdown voltage, moisture or water content, acidity or neutralization number, interfacial tension along with dissolved gas analysis diagnostic tests. Here, the statistical analysis has been performed by using correlation tests and the final results predict the linear correlation among diagnostic tests.

Keywords

Transformer oil BDV WC NN DGA

Full Article PDF Download Article PDF 
×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
For single article (Indian)
1,200 INR
Article Access Charge
For single article (non-Indian)
15 USD
Open Access Fee (Indian) 5,000 INR
Open Access Fee (non-Indian) 80 USD
Annual Subscription Fee
For 1 Journal (Indian)
15,000 INR
Annual Subscription Fee
For 1 Journal (non-Indian)
200 USD
secure PAY INR / USD
Subscription form: click here