scholarly journals Probabilistic Health Index-Based Apparent Age Estimation for Power Transformers

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 9692-9701 ◽  
Author(s):  
Shuaibing Li ◽  
Guangning Wu ◽  
Haiying Dong ◽  
Lei Yang ◽  
Xiaofei Zhen
Keyword(s):  
Age Estimation ◽  
Power Transformers ◽  
Health Index ◽  
Apparent Age

Power Transformers Assessment Applying Health Index and Apparent Age Methods

2020 ◽  
Author(s):  
Micael Marcio Oliveira ◽  
Vitor Bender ◽  
Tiago Bandeira Marchesan ◽  
Antonio Mario Kaminski ◽  
Leonardo Hautrive Medeiros ◽  
...  
Keyword(s):  
Power Transformers ◽  
Health Index ◽  
Apparent Age

ENHANCED HEALTH INDEX FOR POWER TRANSFORMERS DIAGNOSIS

2021 ◽  
pp. 105427
Author(s):  
DANIELLA GONZALEZ TINOIS DA SILVA ◽  
HALLEY J. BRAGA DA SILVA ◽  
FERNANDO PINHABEL MARAFÃO ◽  
HELMO KELIS MORALES PAREDES ◽  
FLAVIO ALESSANDRO SERRÃO GONÇALVES
Keyword(s):  
Power Transformers ◽  
Health Index

Power Transformers Health Index Calculation Method Based on Cloud Model and Fuzzy Evidential Reasoning

2014 ◽  
Vol 1070-1072 ◽  
pp. 1021-1028
Author(s):  
De Hua Cai ◽  
Xi Yang ◽  
Rui Chuang Wang ◽  
Cheng Zhi Ma ◽  
Jin Cheng ◽  
...  
Keyword(s):  
Calculation Method ◽  
Cloud Model ◽  
Evidential Reasoning ◽  
Evaluation Index ◽  
Power Transformers ◽  
Health State ◽  
Health Index ◽  
Degree Of Belief ◽  
Fuzzy Evidential Reasoning ◽  
Index Calculation

Transformers health index calculation method based on cloud model and fuzzy evidential reasoning is proposed. According to the multi-level and multifactor of evaluation index information of power transformers, a layered evaluation index model is established. In order to deal with the ambiguity and uncertainty information of evaluation index, a normal cloud model is introduced, inferred the fuzzy degree of belief in the health state of evaluation index. Then use the fuzzy evidential reasoning method merge information of evaluation Index, inferred the degree of belief in the health state-level of transformer, calculated the health index of transformer. The results of an example analysis test its rationality and effectiveness.

Oil health index calculation and incipient fault diagnosis in power transformers using fuzzy logic

2022 ◽  
Vol 64 (1) ◽  
pp. 28-37
Author(s):  
T Manoj ◽  
C Ranga
Keyword(s):  
Fuzzy Logic ◽  
Logic Model ◽  
Transformer Oil ◽  
Power Transformers ◽  
Dissolved Gases ◽  
Health Index ◽  
Fuzzy Logic Model ◽  
Proposed Model ◽  
Incipient Faults ◽  
Incipient Fault

In this paper, a new fuzzy logic (FL) model is proposed for assessing the health status of power transformers. In addition, the detection of incipient faults is achieved where two or more faults exist simultaneously. The process is carried out by integrating a fuzzy logic model with the conventional International Electric Committee (IEC) ratio codes method. As transformer oil insulation deteriorates, excess percentages of dissolved gases such as hydrogen, methane, ethane, acetylene and ethylene are induced within the trasnformer. The status of oil health is generally assessed using these gas concentrations. Therefore, in the proposed model, 31 fuzzy rules are designed based on the severity levels of these gases in order to determine the health index (HI) of the oil. Similarly, any incipient faults along with their severity are also detected using the proposed fuzzy logic model with 22 expert rules. To validate the proposed fuzzy logic model, the data for dissolved gases in 50 working transformers operated by the Himachal Pradesh State Electricity Board (HPSEB), India, are collected. Over the years, calculations for the health index have been performed using conventional dissolved gas analysis (DGA) interpretation methods. The shortcomings of these methods, such as non-reliability and inaccuracy, are successfully overcome using the proposed model. The detection of incipient faults is normally performed using key gas, Rogers ratios, the Duval triangle, Dornenburg ratios, modified Rogers ratios and the IEC ratio codes methods. The shortcomings of these conventional ratio code methods in identifying incipient faults in some typical cases, ie multiple incipient fault cases, are overcome by the proposed fuzzy logic model.

scholarly journals Apparent Age Estimation System Based on Age Perception

10.5772/13946 ◽  
2011 ◽  
Author(s):  
Hironobu Fukai ◽  
Hironori Takimoto ◽  
Yasue Mitsukura ◽  
Minoru Fukumi
Keyword(s):  
Age Estimation ◽  
Age Perception ◽  
Estimation System ◽  
Apparent Age
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