Application Potential of artificial neural Networks in the Prognosis and Analysis of technical Reliability

被引：0

作者：

Fink, Olga ^{[1
]}

Weidmann, Ulrich ^{[1
]}

Hofmann, Daniel ^{[2
]}

Krolo, Anna ^{[2
]}

机构：

[1] Swiss Fed Inst Technol, Inst Verkehrsplanung & Transportsyst, Zurich, Switzerland

[2] Univ Stuttgart, Inst Maschinenelemente, Stuttgart, Germany

来源：

TECHNISCHE ZUVERLASSIGKEIT 2011: ENTWICKLUNG UN BETRIEB ZUVERLASSIGER PRODUKTE | 2011年 / 2146卷

关键词：

SYSTEMS RELIABILITY; PREDICTION;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper elaborates prerequisites, strengths and limitations of the application of artificial neural networks (in the following only "neural networks") in reliability engineering. The applications of reliability forecasting and analysis, which are particularly suitable for the application of neural networks, are investigated. This will be evaluated in comparison to other state of the art methods. Application areas are identified, in which neural networks are already implemented. Other potential fields of application are evaluated based on the comparison results of different methods. Railway applications, as one of the possible fields of application, are in special focus of this article.

引用

页码：183 / 196

页数：14

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