Catalogue : Details

Konstantin Machleidt

Preventive maintenance of Safety-related Systems – modeling, analysis, and optimization

Präventive Instandhaltung sicherheitsbezogener Systeme – Modellierung, Analyse und Optimierung

ISBN:

978-3-8440-4151-4

Series:

Automatisierungstechnik

Keywords:

Functional safety; safety-related systems; probabilistic modeling; preventive maintenance; probability of dangerous failure on demand

Type of publication:

Thesis

Language:

English

Pages:

158 pages

Figures:

76 figures

Weight:

233 g

Format:

21 x 14,8 cm

Binding:

Paperback

Price:

48,80 € / 61,00 SFr

Published:

January 2016

Buy:

Download:

Available PDF-Files for this title:

You need the Adobe Reader, to open the files. Here you get help and information, for the download.

These files are not printable.


	Document		Document
	Type		PDF
	Costs		36,60 EUR
	Action		Purchase in obligation and display of file - 1,0 MB (1054634 Byte)
	Action		Purchase in obligation and download of file - 1,0 MB (1054634 Byte)


	Document		Table of contents
	Type		PDF
	Costs		free
	Action		Display of file - 88 kB (90246 Byte)
	Action		Download of file - 88 kB (90246 Byte)

User settings for registered users

You can change your address here or download your paid documents again.

User:	Not logged in.
Actions:	Login / Register Forgotten your password?

Recommendation:

You want to recommend this title?

Review copy:

Here you can order a review copy.

Link:

You want to link this page? Click here.

Export citations:

Text
BibTex
RIS

Abstract:

Safety-related Systems (SRS) protect from the unacceptable risk resulting from failures of technical systems. The average probability of dangerous failure on demand (PFD) of these SRS in low demand mode is limited by standards. Probabilistic models are applied to determine the average PFD and verify the specified limits. In this thesis an effective framework for probabilistic modeling of complex SRS is provided. This framework enables to compute the average, instantaneous, and maximum PFD. In SRS, preventive maintenance (PM) is essential to achieve an average PFD in compliance with specified limits. PM intends to reveal dangerous undetected failures and provides repair if necessary. The introduced framework pays special attention to the precise and detailed modeling of PM. Multiple so far neglected degrees of freedom of the PM are considered, such as two types of elementwise PM at arbitrarily variable times. As shown by analyses, these degrees of freedom have a significant impact on the average, instantaneous, and maximum PFD. The PM is optimized to improve the average or maximum PFD or both. A well-known heuristic nonlinear optimization method (Nelder-Mead method) is applied to minimize the average or maximum PFD or a weighted trade-off. A significant improvement of the objectives and an improved protection are achieved. These improvements are achieved via the available degrees of freedom of the PM and without additional effort. Moreover, a set of rules is presented to decide for a given SRS if significant improvements will be achieved by optimization of the PM. These rules are based on the well-known characteristics of the SRS. The presented rules aim to support the decision whether the optimization is advantageous for a given SRS and if it should be applied or not.