کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6765431 512436 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development of indicators for the detection of equipment malfunctions and degradation estimation based on digital signals (alarms and events) from operation SCADA
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Development of indicators for the detection of equipment malfunctions and degradation estimation based on digital signals (alarms and events) from operation SCADA
چکیده انگلیسی
Certain mechanical and electrical components, such as generators, exhibit degradation phenomena, which may develop slowly over time or suddenly. The current trend in this field of research is to develop malfunction detection indicators from analog signals recorded by operation supervisory control and data acquisition (SCADA), creating behavioral models of the equipment and the development of a series of status indicators. These models and indicators are used to detect malfunctions when operation SCADA are unable to detect an abnormality, thus determining that the component is beginning to degrade when certain normal limits are exceeded. However, the digital signals from operation SCADA have great potential for providing additional information that could be used to detect possible malfunction. Detection must be accompanied by a study of the remaining life of a component so that the remaining useful life of the component before failure can be estimated before losing its functionality. If SCADA can detect a malfunction and determine when the component will break, the operator will have valuable time to intervene prior to failure at an optimum time. This is particularly important in installations with difficult access, such as offshore wind farms.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 99, December 2016, Pages 224-236
نویسندگان
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