Article | REF: S8252 V1

Dependability of complex industrial systems - Operational study

Author: Gilles ZWINGELSTEIN

Publication date: December 10, 2009

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


Overview

Français

Read this article from a comprehensive knowledge base, updated and supplemented with articles reviewed by scientific committees.

Read the article

AUTHOR

  • Gilles ZWINGELSTEIN: Engineer from the École nationale supérieure d'électrotechnique, d'électronique, d'informatique et d'hydraulique et des télécommunications de Toulouse (ENSEEIHT) - Doctor of Engineering, Doctor of Science - Associate University Professor

 INTRODUCTION

In this issue, which follows on from [S 8 250v2] and [S 8 251] , we take a look at aspects relating to operational safety studies and the conduct of a predictive or operational study.

Dependability data are essential for all predictive and mainly quantitative studies. They are of two types: event-driven and reliability-driven.

Event data are obtained from statistical studies of accidents and full-scale experiments. They therefore concern the "macroscopic" aspect and provide estimates of the behavior of an entire system under certain circumstances (large number of indiscernible or non-quantifiable events). They are particularly useful for assessing risks (probability/severity of consequences) and therefore safety.

Reliability data, on the other hand, is obtained by testing basic system components under given conditions (discernible, quantifiable events). They are therefore "microscopic" and are essential for the predictive methods described in the [S 8 251] file, which are widely used.

In large, high-performance companies, the use of CMMS (computer-aided maintenance management) software that includes modules for collecting feedback enables analysis of all the parameters associated with the circumstances in which failures occur, and the time spent on corrective or preventive maintenance.

Feedback data collection systems are used to assess the performance of operational systems using quantitative indicators such as MTTF (Mean Time To Failure), failure rates, repair times and uptime.

You do not have access to this resource.

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


The Ultimate Scientific and Technical Reference

A Comprehensive Knowledge Base, with over 1,200 authors and 100 scientific advisors
+ More than 10,000 articles and 1,000 how-to sheets, over 800 new or updated articles every year
From design to prototyping, right through to industrialization, the reference for securing the development of your industrial projects

This article is included in

Control and systems engineering

This offer includes:

Knowledge Base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

Practical Path

Operational and didactic, to guarantee the acquisition of transversal skills

Doc & Quiz

Interactive articles with quizzes, for constructive reading

Subscribe now!

Ongoing reading
Dependability of complex industrial systems