Non-stationary functional series modeling and analysis of hardware reliability series: a comparative study using rail vehicle interfailure times

Ch.N. Stavropoulos; S.D. Fassois

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Non-stationary functional series modeling and analysis of hardware reliability series: a comparative study using rail vehicle interfailure times

机译：非平稳功能序列建模和硬件可靠性序列分析：使用轨道车辆失效时间的比较研究

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摘要

A novel reliability modeling and analysis framework based upon the distinct class of non-stationary Functional Series (FS) models is introduced. This framework allows for non-stationary reliability modeling, evolution assessment, analysis (including non-stationarity assessment, dependency assessment, as well as cycle detection), and prediction.

机译：介绍了一种基于不同类别的非平稳功能序列（FS）模型的新型可靠性建模和分析框架。该框架允许进行非平稳的可靠性建模，演变评估，分析（包括非平稳性评估，依存关系评估以及周期检测）和预测。

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来源
《Reliability Engineering & System Safety》 |2000年第2期|p.169-183|共15页
作者
Ch.N. Stavropoulos; S.D. Fassois;
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类安全科学;工程基础科学;
关键词
Reliability; Repairable systems; Interfailure times;

机译：可靠性;可修复的系统;故障间隔时间;

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1. Non-stationary random vibration modelling and analysis via functional series time-dependent ARMA (FS-TARMA) models - A critical survey [J] . M.D. Spiridonakos, S.D. Fassois Mechanical systems and signal processing . 2014,第1a2期

机译：通过功能序列时间相关的ARMA（FS-TARMA）模型进行非平稳随机振动建模和分析-关键调查
2. Hydrological time series analysis and modelling using statistical tests and linear time series models (case study: West Azerbaijan province of Iran) [J] . Mojtaba Moravej, Keivan Khalili International journal of hydrology science and technology . 2015,第4期

机译：利用统计检验和线性时间序列模型进行水文时间序列分析和建模（案例研究：伊朗西部阿塞拜疆省）
3. NON-STATIONARY FUNCTIONAL SERIES TARMA VIBRATION MODELLING AND ANALYSIS IN A PLANAR MANIPULATOR [J] . K. A. Petsounis, S. D. Fassois Journal of Sound and Vibration . 2000,第5期

机译：平面机械手的非平稳功能系列目标振动建模与分析
4. Non-stationary modeling of rail vehicle reliability: A comparative study [C] . Stavropoulos Ch N., Fassois S.D. European Control Conference . 1999

机译：轨道车辆可靠性的非平稳建模：比较研究
5. Statistical Modeling of Carbon Dioxide and Cluster Analysis of Time Dependent Information: Lag Target Time Series Clustering, Multi-Factor Time Series Clustering, and Multi-Level Time Series Clustering [D] . Kim, Doo Young. 2016

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8. A Comparative Analysis of the D041 System and Time Series Analysis Models for Forecasting Reparable Item Generations. [R] . Christensen, B. R., Schroeder, G. J. 1976

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Non-stationary functional series modeling and analysis of hardware reliability series: a comparative study using rail vehicle interfailure times

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