کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
807960 | 1468256 | 2013 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Singular spectrum analysis and forecasting of failure time series
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی مکانیک
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
Singular spectrum analysis (SSA) is a relatively recent approach used to model time series with no assumptions of the underlying process. SSA is able to make a decomposition of the original time series into the sum of independent components, which represent the trend, oscillatory behavior (periodic or quasi-periodic components) and noise. In this paper SSA is used to decompose and forecast failure behaviors using time series related to time-to-failure data. Results are compared with previous approaches and show that SSA is a promising approach for data analysis and for forecasting failure time series.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Reliability Engineering & System Safety - Volume 114, June 2013, Pages 126–136
Journal: Reliability Engineering & System Safety - Volume 114, June 2013, Pages 126–136
نویسندگان
Claudio M. Rocco S,