參加 2011 年國際大學科學工程和技術會議 (INTERNATIONAL UNIVERSITY CONFERENCE 2011)並發表論文
一、參加會議經過
1. 八月二十二日從桃園機場搭乘 23:50 長榮班機飛往法國巴黎。
2. 八月二十三日 10:20 抵達法國巴黎。
3. 八月二十四日早上前往會議地點參加大會開幕儀式，領取會議論文集(光碟片)及議程 等相關資料。參加大會安排的專題演講(場次 B)，場次 B 之專題演講討論一些設備感 測研究議題。接著參加 Session-1 場次 A 之技術研討會，學生之論文 Research on Transformer Condition-based Maintenance System using the Method of Fuzzy Comprehensive Evaluation 安排在此場次發表(共有 9 篇論文發表)，議程主席為 Dr.
Gamail Darwish ,Subhash Chander Sharma，主席及與會人員對本論文極有興趣，提問 一些問題及建議，非常值得參考。
4. 八月二十五日參加大會安排的專題演講(場次 A)，場次 A 之專題演講討論一些數學 演算法應用在科學及工程領域上，包括線性規劃、模糊理論、類神經網路及成本最 佳化設計等議題，瞭解目前有關科學及工程領域上數學演算法的相關應用研究議 題。從討論的議題獲得一些新的觀念。
5. 八月二十六日參加大會安排的專題演講(場次 B)，場次 B 之專題演講討論目前非常熱 門的研究議題『設備狀態維護』，包括 設備狀態監測技術、設備成本、壽命及風險評 估等技術的發展，瞭解目前有關設備狀態維護研究議題。其中有二篇論文研究設備 狀態監測及風險評估對電力設備系統的影響，因應電力公司成本考量政策，設備狀 態維護的相關研究議題勢必會愈來愈受到重視。
6. 八月二十七日，從巴黎搭乘 11:20 長榮航空班機返國。
7. 八月二十八日，抵達桃園國際機場。
二、與會心得
2011 年國際大學科學工程和技術會議，與會者均為科學工程系統領域之專家、學者 及研究人員，出席情況極為踴躍。此次大會共有 376 篇論文發表，除蒐集到大會之光碟 論文資料外，並簡報學生的研究成果與心得，並聽取專家及學者的意見及建議，實屬極 為寶貴之經驗。此外，並可藉由與國際學者、專家學術交流，對學生後續研究及博士學 位之培育有實質的助益。
三、
攜回資料名稱及內容
會議論文集一本與會議論文光碟一片。
Paper ID Code: FR81000 (Please accept our apologies for any inconveniences caused &
double entries received) Letter of Acceptance Paris, France August 24-26, 2011
Dear Author,
Herewith, This is kindly to inform you that the peer- reviewed draft paper (see below abstract) has been accepted for oral presentation as well as inclusion in the proceedings of the
conference to be held in Paris, France during August 24-26, 2011. The high-impact conference papers are also considered for possible special journal publication [p-ISSN 2010-376X, e-ISSN 2010-3778] at http://www.waset.org/journals/waset/
Conference Registration Documents:
1. Registration Form File should be Downloaded at http://www.waset.org/downloads/frreg.doc 2. Copyright Transfer Form File should be Downloaded
at http://www.waset.org/downloads/copyright.doc 3. Word Template File should be Downloaded at http://www.waset.org/downloads/template.doc
4. Latex Style File should be Downloaded at http://www.waset.org/downloads/latex.zip
Letter of Invitation and Visa Requirements:
If you need an invitation letter to get an entrance Visa, Please fill in the online form to get a letter of invitation at http://www.waset.org/invitation.php
Online Conference Registration Form:
The Conference Program and Certificate of Presentation will be composed using the data entered through the online author registration form. All the conference registration files should be zipped (.zip) or rarred (.rar) and submitted via online form
at: http://www.waset.org/author.php
Best regards,
WASET
Editor-in-Science
NMSU
Las Cruces, NM 88003-3151 USA
V:++15756350018
PS: Whilst registered to the conference, for unforeseen circumstances, if you can not attend the conference, the final conference paper will be published in the conference proceedings and posted to your postal address.
Conference Venue and Accommodation:
Ms. Christine ALLERY (Service Réservations) Holiday Inn Paris
Montparnasse-Av.Du Maine 79-81 Avenue Du Maine Paris, 75014 France Phone: +33-1-43201393 Fax: +33-1-43209560
www.holidayinn.com/parisgare --- Original Message ---
From: [email protected] To: [email protected]
Sent: Thursday, June 30, 2011 8:41 AM
Subject: Paris_France August11 International Conference on Electrical, Computer, Electronics & Communication Engineering
Paris_France August11 WASET CONFERENCE PAPER Date : 2011-06-29 23:06:50 IP Adress :140.118.207.98
Name
Surname Mr. Po-Chun Lin
Institution Department of Electrical Engineering, National Taiwan University of Science and Technology
Country Taiwan Alternative
[email protected]
Paper Title Research on Transformer Condition-based Maintenance System using the Method of Fuzzy Comprehensive Evaluation
Abstract This study adopted previous fault patterns, results of detection analysis, historical records and data, and experts experiences to establish fuzzy principles and estimate the failure probability index of components of a power transformer. Considering that actual parameters and limiting conditions of parameters may differ, this study used the standard data of IEC, IEEE, and CIGRE as condition parameters. According to the characteristics of each condition parameter, relative degradation was introduced to reflect the degree of influence of the factors on the transformer condition. The method of fuzzy mathematics was adopted to determine the subordinate function of the transformer condition. The calculation used the Matlab Fuzzy Tool Box to select the condition parameters of coil winding, iron core, bushing, OLTC, insulating oil and other auxiliary components and factors (e.g., load records, performance history, and maintenance records) of the transformer to establish the fuzzy principles. Examples were presented to support the rationality and effectiveness of the evaluation method of power transformer performance conditions, as based on fuzzy comprehensive evaluation
Keywords Fuzzy, relative degradation degree, condition-based maintenance, power
Abstract—This study adopted previous fault patterns, results of detection analysis, historical records and data, and experts’
experiences to establish fuzzy principles and estimate the failure probability index of components of a power transformer. Considering that actual parameters and limiting conditions of parameters may differ, this study used the standard data of IEC, IEEE, and CIGRE as condition parameters. According to the characteristics of each condition parameter, relative degradation was introduced to reflect the degree of influence of the factors on the transformer condition. The method of fuzzy mathematics was adopted to determine the subordinate function of the transformer condition. The calculation used the Matlab Fuzzy Tool Box to select the condition parameters of coil winding, iron core, bushing, OLTC, insulating oil and other auxiliary components and factors (e.g., load records, performance history, and maintenance records) of the transformer to establish the fuzzy principles. Examples were presented to support the rationality and effectiveness of the evaluation method of power transformer performance conditions, as based on fuzzy comprehensive evaluation.
Keywords—Fuzzy, relative degradation degree, condition-based maintenance, power transformer
I. INTRODUCTION
ODERM power systems have become increasingly complicated; hence, the reliability of power equipments is directly related to the safe operation of a power system. A large power transformer is one of the main equipments for power system operation. Once a power transformer breaks down, safe operation of the power system will be affected. An evaluation of the power transformer condition is one of the key contents in the condition-based maintenance (CBM) of power equipments. Previous studies have presented achievements in the CBM of transformers; however, most studies focus on electric testing and monitoring the detection analysis of gas dissolved in oil, and only use a single or a few parameters for CBM [1]–[3].
Ali Naderian proposed an effective method to illustrate the comprehensive relationship between the operating conditions of transformers and various tests, operating conditions, and historical equipment information [4]. The operating condition of a transformer is a direct reflection of its normal operating condition. If the transformer breaks down, the corresponding operation parameters will deviate from the normal values. In order to reflect the normal conditions of the transformer, the parameters or results of parameters processing, which can
P.-C. Lin is with the Department of Electrical Engineering, National Taiwan University of Science and Technology, 43, Sec. 3, Keelung Rd., Taipei 106, Taiwan. (e-mail: d9407107@ mail.ntust.edu.tw).
J.-C. Gu is with the Department of Electrical Engineering, National Taiwan University of Science and Technology, 43, Sec. 3, Keelung Rd., Taipei 106,
reflect the transformer condition, must be used as the indices to evaluate the transformer condition. Moreover, it is also important to use the effective information in the detection results to evaluate and identify normal conditions of the transformer.
This study aimed to establish evaluation indices of comprehensive factors by adopting the fuzzy theory, and create failure probability indices of transformer components, as based on fuzzy comprehensive evaluation. The normal conditions of a transformer are evaluated by the comprehensive failure probability indices of the components. With this diagnostic system model, the CBM evaluation of a transformer can be realized.
II. BASIC PRINCIPLES AND PROCEDURES OF FUZZY COMPREHENSIVE EVALUATION
Fuzzy comprehensive evaluation refers to the decision-making or comprehensive evaluation of an object or phenomenon, which is affected by multiple factors. It is easy to conduct an evaluation or decision of a certain object or phenomenon if only a single factor is taken into consideration.
However, in actual practice, multiple factors should be considered and identified in the evaluation process. As it is difficult to make a decision by applying an ordinary mathematic method, fuzzy comprehensive evaluation of fuzzy mathematics is able to handle the issues of making decisions or evaluations with multiple factors. It is an evaluation method based on existing evaluation standards and fuzzy conversion of the actual measured data or estimated data. Compared to other methods, it is a comprehensive, objective, and integrated method for results evaluation. [5] , [6].
The procedures of fuzzy comprehensive evaluation are as follows: [7]
1) Determine the factors set of the evaluated object: factors sets are composed of the elements of various factors that can affect the evaluated object, and is denoted by U, that is, U={u1,u2,…un}. Each element ui denotes the corresponding influencing factor. These factors usually have certain degree of fuzziness.
2) Create the comments set: comments sets are composed of the elements of various comprehensive evaluation results of the evaluated object, as set by the evaluators. It is denoted by V, that is, V ={v1,v2,…vn}. Each element denotes the corresponding possible comprehensive evaluation result.
3) Comprehensive evaluation matrix: create a fuzzy mapping from ui to f(vi). Fuzzy relationship R is determined by f(vi) to obtain the fuzzy evaluation matrix R.
4) Evaluation factors weights shall be created: in order to Po-Chun Lin and Jyh-Cherng Gu