An Evaluation of Different Health Assessment Methods on 50 MVA Power Transformer: A Case Study

Author(s):  
Alok Patel ◽  
Naveen Kumar Sharma ◽  
Anuj Banshwar ◽  
Bharat Bhushan Sharma ◽  
Mohit Pathak
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shuguo Gao ◽  
Jun Zhao ◽  
Yunpeng Liu ◽  
Ziqiang Xu ◽  
Zhe Li ◽  
...  

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.


2016 ◽  
Vol 324 ◽  
pp. 31-50 ◽  
Author(s):  
Jonas Santos Bezerra ◽  
Andrei Costa ◽  
Leila Ribeiro ◽  
Érika Cota

2004 ◽  
Vol 15 (6) ◽  
pp. 270-274 ◽  
Author(s):  
Shelley Peacock
Keyword(s):  

2014 ◽  
Vol 602-605 ◽  
pp. 370-374
Author(s):  
Hong Bo Xu ◽  
Jia Yu Li

Health assessment of the girder is crucial to an overhead traveling crane. This paper presents an intelligent damage identification method for the girder based on stiffness variation index (SVI) and least squares support vector machine (LSSVM). In the method, the SVI indicators, which have high resolution to environmental noise, serve as the damage feature to detect damage locations. Moreover, the SVI indicators are input to the LSSVM classifier for identifying the actual damage level of the girder. A case study on girder damage identification demonstrates that the method could determine the actual conditions of the girder structure accurately.


2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Yuyun Durhayati ◽  
Cut Sarida Pompey

<p><strong>Objective</strong>: The  purpose  of  this  case  study  was  to  analyze  the  oral  hygiene intervention performed by  nurse  in  stroke  hemorrhagic  patient  in  neurological  ward</p><p> </p><p><strong>Methods:</strong> .Oral hygiene interventions were performed by using 0.2% chlorhexidine twice daily for seven days. This case study used oral health assessment tool (OHAT) which the measurements were taken before and after the intervention every day</p><p> </p><p><strong>Results</strong>: There was a decrease in oral hygiene assessment score from 9 to 1 which implied an improvement in oral hygiene condition. This study also showed that family of stroke patient was able to perform oral hygiene practice to the patient after simulation performed firstly by nurses</p><p> </p><p><strong>Conclusion</strong>: The study recommends that oral hygiene by using 0.2% chlorhexidine needs to be delivered routinely by nurses and continues by the family at home care.</p><p> </p><p><strong>Keywords</strong>: chlorhexidine 0.2%, oral hygiene, stroke.</p>


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