期刊
RELIABILITY ENGINEERING & SYSTEM SAFETY
卷 114, 期 -, 页码 126-136出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2013.01.007
关键词
Time-to-failure forecasting; Singular spectrum analysis; Time series decomposition
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. (C) 2013 Elsevier Ltd. All rights reserved.
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