Evaluation of Uncertainties in Testing of Losses in Power Transformers by Monte Carlo Method

被引：0

作者：

Lourenco, Marcelo Luiz ^{[1
]}

Batista, Adalberto Jose ^{[1
]}

da Silva, Wander Goncalves ^{[1
]}

机构：

[1] Univ Fed Goias, Escola Engn Eletr Mecan & Comp, Goiania, GO, Brazil

来源：

2014 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC) PROCEEDINGS | 2014年

关键词：

Measurement uncertainties; Monte Carlo method; Power transformer losses; Propagation of distributions;

D O I：

暂无

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

This paper describes the application of the method established in the Supplement 1 to the Guide to the Expression of Uncertainty in Measurement for the evaluation of uncertainties in the measurement of losses in power transformers. Also presented is the criterion for the validation of the software used for these measurements based on the original Guide. This additional method was developed since the commonly used one, as described in the original Guide, presents some limitations, especially those related to the degree of nonlinearities of the measuring model. This method is based on the propagation of probability density functions of the input quantities by the simulation of Monte Carlo Method. The results show that for a particular case, the degrees of nonlinearity of the models are such that this measuring method is required.

引用

页码：449 / 454

页数：6

共 50 条

[21] Whole-field strain uncertainty evaluation by a Monte Carlo method [J].

Cordero, RR ;

Roth, P .

MEASUREMENT SCIENCE AND TECHNOLOGY, 2004, 15 (09) :1885-1891

[22] Study on evaluation time in typhoon simulation based on Monte Carlo method [J].

Yasui, H ;

Ohkuma, T ;

Marukawa, H ;

Katagiri, J .

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2002, 90 (12-15) :1529-1540

[23] Monte Carlo method for evaluation of surface emission rate measurement uncertainty [J].

Li, Yuan-Qiao ;

Lin, Min ;

Xu, Li-Jun ;

Luo, Rui ;

Zhang, Yu-He ;

Ni, Qian-Xi ;

Liu, Yun-Tao .

NUCLEAR SCIENCE AND TECHNIQUES, 2024, 35 (07)

[24] Procedure for Determining the Uncertainties in the Modeling of Surface Roughness in the Turning of NiTi Alloys Using the Monte Carlo Method [J].

Kowalczyk, Malgorzata ;

Tomczyk, Krzysztof .

MATERIALS, 2020, 13 (19) :1-14

[25] Joint application of the Monte Carlo method and computational probabilistic analysis in problems of numerical modeling with data uncertainties [J].

Dobronets, Boris ;

Popova, Olga .

MONTE CARLO METHODS AND APPLICATIONS, 2024, 30 (03) :217-223

[26] Software testing technology research based on Monte Carlo method and classical probability model [J].

Zhang Zhonglin ;

Hu Yuehua ;

Xu Xiaomei ;

Ma Haiyun .

ICCSE'2006: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION: ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION, 2006, :872-874

[27] Simulation Design and Testing of Gallium Oxide Ultraviolet Detector Based on Monte Carlo Method [J].

Lu, Shuxiang ;

Zhang, Zhihao .

LASER & OPTOELECTRONICS PROGRESS, 2025, 62 (07)

[28] Comparison of ISO-GUM and Monte Carlo Method for Evaluation of Measurement Uncertainty [J].

Ha, Young-Cheol ;

Her, Jae-Young ;

Lee, Seung-Jun ;

Lee, Kang-Jin .

TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS B, 2014, 38 (07) :647-656

[29] APPLICATION OF THE MONTE CARLO METHOD IN EVALUATION OF THE AMBEV COMPANY WITH UNUSUAL CAPITAL COST [J].

Silva, Carla Vieira ;

Norberto Batista, Alexandre Teixeira ;

Sales, Handerson Leonidas ;

da Penha, Roberto Silva .

REVISTA ENIAC PESQUISA, 2019, 8 (01) :153-175

[30] Sampling Uncertainty Evaluation for Data Acquisition Board Based on Monte Carlo Method [J].

Ge Leyi ;

Wang Zhongyu .

7TH INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND CONTROL TECHNOLOGY: MEASUREMENT THEORY AND SYSTEMS AND AERONAUTICAL EQUIPMENT, 2008, 7128

← 1 2 3 4 5 →