Regression Approach to Power Transformer Health Assessment Using Health Index

2020 ◽  
pp. 603-616
Author(s):  
Jagdish Prasad Sharma
Keyword(s):  
Power Transformer ◽  
Health Assessment ◽  
Health Index ◽  
Regression Approach

A data-driven intelligent hybrid method for health prognosis of lithium-ion batteries

2021 ◽  
pp. 1-11
Author(s):  
Vimal Singh Bisht ◽  
Mashhood Hasan ◽  
Hasmat Malik ◽  
Sandeep Sunori
Keyword(s):  
Health Assessment ◽  
Lithium Ion ◽  
Transformation Method ◽  
Internal Resistance ◽  
Remaining Useful Life ◽  
Health Index ◽  
Great Saving ◽  
Useful Life ◽  
And Storage ◽  
Value Of Health

For estimation of the RUL (Remaining useful life) of Lithium ion battery we are required to do its health assessment using online facilities. For identifying the health of a battery its internal resistance and storage capacity plays the major role. However the estimation of both these parameters is not an easy job and requires lot of computational work to be done. So to overcome this constraint an easy alternate way is simulated in the paper through which we can estimate the RUL. For formation of a linear relationship between health index of the battery (HI) and its actual capacity used of power transformation method is done and later on to validate the result a comparison study is done with Pearson & Spearman methods. Transformed value of Health Index is used for developing a neural network. The results demonstrated in the paper shows the feasibility of the proposed technique resulting in great saving of time

An approach to power transformer asset management using health index

2009 ◽  
Vol 25 (2) ◽  
pp. 20-34 ◽  
Author(s):  
A. Jahromi ◽  
R. Piercy ◽  
S. Cress ◽  
J. Service ◽  
Wang Fan
Keyword(s):  
Asset Management ◽  
Power Transformer ◽  
Health Index

Development of a Nonlethal Health Assessment for Wild Red Drum Using a Health Index

2014 ◽  
Vol 26 (2) ◽  
pp. 91-95
Author(s):  
Carla M. Bourtis ◽  
Ruth Francis-Floyd ◽  
Eric A. Reyier ◽  
Roy P. Yanong ◽  
Louis J. Guillette
Keyword(s):  
Health Assessment ◽  
Red Drum ◽  
Health Index

scholarly journals Power transformer health index estimation using evidential reasoning

2020 ◽  
Vol 33 (4) ◽  
pp. 571-581
Author(s):  
Srdjan Milosavljevic ◽  
Aleksandar Janjic
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Power Transformer ◽  
Real Data ◽  
Condition Assessment ◽  
Evidential Reasoning ◽  
Health Index ◽  
Power Distribution System ◽  
Index Value ◽  
Shafer Theory

Market-oriented power distribution system requires a well-planned budget with scheduled preventive and corrective maintenance during a replacement of units that are in an unsatisfactory condition. In recent years, the concept of the transformer health index as an integral part of resource management was adopted for the condition assessment and ranking of ETs. However, because of the lack of regular measurement and inspections, the confidence in health index value is greatly reduced. The paper proposes a novel methodology for the ET condition assessment and the lifetime increase through the establishment of priorities for control and maintenance. The solution is based on the upgraded health index, where the confidence to the measurement results is calculated using Evidential reasoning algorithm based on Dempster - Shafer theory. A novel, two - level hierarchical model of ET health index is proposed, with real weighting factors values. This way, the methodology for ET ranking includes the value of available information to describe ET current state. The proposed methodology is tested on real data of an installed ET and compared with the traditional health index calculation.

scholarly journals Detection of partial discharge acoustic emission in power transformer

2019 ◽  
Vol 9 (6) ◽  
pp. 4573 ◽  
Author(s):  
Yomna Omran Shaker
Keyword(s):  
Acoustic Emission ◽  
Acoustic Wave ◽  
Arrival Time ◽  
Power Transformer ◽  
Partial Discharge ◽  
The Other ◽  
Health Index ◽  
High Attenuation ◽  
Other Hand ◽  
Emission Detection

<span>Partial discharge is one the most important factor that leads to deteroration and failure of the power transformer transformer. Acoustic emission detection is effective method to evaluate the health index of the power transformer.      Using acoustic emission (AE) sensors for partial discharge (PD) measurement is considered as one of the most promising techniques to detect and localize PD activities inside the transformer tank. On the other hand, AE waves suffer from high attenuation and reflections while traveling from the PD source to the AE sensor. The modeling of the AE wave can help to understand the behavior of the AE PD signal during its travel. In this paper, the AE PD signal is assumed to be composed of different frequencies. This work aims to investigate the influence of the frequency value on the attenuation and arrival time of the acoustic wave.</span>

scholarly journals Optimal Decision Making in Electrical Systems Using an Asset Risk Management Framework

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4987
Author(s):  
David L. Alvarez ◽  
Diego F. Rodriguez ◽  
Alben Cardenas ◽  
F. Faria da da Silva ◽  
Claus Leth Leth Bak ◽  
...  
Keyword(s):  
Decision Making ◽  
Monte Carlo ◽  
Power Transformer ◽  
Risk Index ◽  
Mathematical Optimization ◽  
Optimal Decision ◽  
Health Index ◽  
Electrical Systems ◽  
Optimal Decision Making ◽  
The Impact

In this paper, a methodology for optimal decision making for electrical systems is addressed. This methodology seeks to identify and to prioritize the replacement and maintenance of a power asset fleet optimizing the return of investment. It fulfills this objective by considering the risk index, the replacement and maintenance costs, and the company revenue. The risk index is estimated and predicted for each asset using both its condition records and by evaluating the consequence of its failure. The condition is quantified as the probability of failure of the asset, and the consequence is determined by the impact of the asset failure on the whole system. Failure probability is estimated using the health index as scoring of asset condition. The consequence is evaluated considering a failure impact on the objectives of reliability (energy not supplied -ENS), environment, legality, and finance using Monte Carlo simulations for an assumed period of planning. Finally, the methodology was implemented in an open-source library called PywerAPM for assessing optimal decisions, where the proposed mathematical optimization problem is solved. As a benchmark, the power transformer fleet of the New England IEEE 39 Bus System was used. Condition records were provided by a local utility to compute the health index of each transformer. Subsequently, a Monte Carlo contingency simulation was performed to estimate the energy not supplied for a period of analysis of 10 years. As a result, the fleet is ranked according to risk index, and the optimal replacement and maintenance are estimated for the entire fleet.

scholarly journals Research into Power Transformer Health Assessment Technology Based on Uncertainty of Information and Deep Architecture Design

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shuguo Gao ◽  
Jun Zhao ◽  
Yunpeng Liu ◽  
Ziqiang Xu ◽  
Zhe Li ◽  
...  
Keyword(s):  
Power Transformer ◽  
Cloud Model ◽  
Health Assessment ◽  
Assessment Method ◽  
Actual Case ◽  
Defect Type ◽  
Defect Location ◽  
Deep Architecture ◽  
High Conflict

The uncertainty of the evaluation information is likely to affect the accuracy of the evaluation, when conducting a health evaluation of a power transformer. A multilevel health assessment method for power transformers is proposed in view of the three aspects of indicator criterion uncertainty, weight uncertainty, and fusion uncertainty. Firstly, indicator selection is conducted through the transformer guidelines and engineering experience to establish a multilevel model of transformers that can reflect the defect type and defect location. Then, a Gaussian cloud model is used to solve the uncertainty of the indicator criterion boundary. Based on association rules, AHP, and variable weights, the processed weights are calculated from the update module to obtain comprehensive weights, which overcomes the uncertainty of the weights. Improved DSmT theory is used for multiple evidence fusion to solve the high conflict and uncertainty problems in the fusion process. Finally, through actual case analysis, the defect type, defect location, and overall state of the transformer of the device are obtained. By comparing with many defect cases in a case-study library, the evaluation accuracy rate is found to reach 96.21%, which verifies the practicability and efficiency of the method.

Fuzzy Logic Based Calculation and Analysis of Health Index for Power Transformer Installed in Grid Stations

2019 ◽  
Author(s):  
Muhammad Idrees ◽  
Muhammad Tanveer Riaz ◽  
Aashir Waleed ◽  
Zahir Javed Paracha ◽  
Hafiz Ahmad Raza ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Power Transformer ◽  
Health Index
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