کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4945604 1438706 2018 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Reliability model for frequency converter in electrified railway
ترجمه فارسی عنوان
مدل قابلیت اطمینان برای مبدل فرکانس در راه آهن برقی
کلمات کلیدی
سیستم گزارش داده خرابی؛ مدل اعتبار سنجی واحد؛ IEEE STD 762؛ مبدل فرکانس
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


- The study provides an outage data analysis of frequency converter in electrified railway.
- Three-state reliability model has been modified for peaking units.
- IEEE four-state reliability model are not reasonable for the frequency converter.
- The application of modified reliability model is demonstrated by the fleet of frequency converter.

Reliability analysis of frequency converters based on failures and outages reports constitute an important basis for asset performance and management. Two- and four-state reliability models that recognize the operating characteristics of base load units and peaking units are presented and compared in this study. In this study, a four-state model is modified to a three-state model by combining the 'needed' and 'not-needed' forced-out states. Moreover, the transitions in the three-state model for power frequency converter have been designed according to real operational data. An outage-reporting database modelled considering IEEE STD 762 is presented and compared with the existing failure-reporting database of the case considered here. Furthermore, a method to extract information missing in the failure-reporting database by electrical readings is proposed to meet the requirements of the outage-reporting database. The study found that the results of indexes based on the IEEE four-state model are not reasonable for the frequency converter given their differences with the gas-turbine results under operational conditions. The forced outage rates and availability factors of twelve actual traction frequency converters of Swedish railways network are presented to validate the modified model.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Electrical Power & Energy Systems - Volume 94, January 2018, Pages 385-392
نویسندگان
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