Analyzing the Performance of Repairable Systems Using Probability Density Functions: How to Avoid Catastrophic Failures by Predicting Remaining Service Life for Information Technology Systems - Couverture souple

Taylor, James L

Couverture souple

ISBN 10 : 1790352533 ISBN 13 : 9781790352531

Editeur : Independently published, 2018

Synopsis

I found it amazing that a complex system’s reliability can be described with a simple exponential equation—its probability density function (PDF). The PDF is important because it quantifies the probability of operating successfully for each mission time. And because reliability for large systems is not easily changed, the PDF represents the system’s DNA. This means that a system’s performance characteristics such as Mean Time Between Failure (MTBF) are not easily changed without significant changes to the system. The PDF provides reliability engineers a tool that can be used to analyze their system’s performance and to manage reliability.

A propos du livre

Présentation de l'éditeur

All Information Technology (IT) systems should be replaced near the end of their lifecycle while they are still functioning and while spare parts, vendor support and repair staff are readily available. However, without data that predicts a system’s Remaining Service Life (RSL), it is understandably difficult to convince management that a functioning IT system needs to be replaced. In these situations, the wakeup call is when (1) spare parts are no longer available from conventional sources, (2) the Operating System (OS) is no longer supported leaving the system vulnerable to hackers, (3) or key support personnel have left. This book explains the simplicity of using Probability Density Functions (PDF) to analyze the performance characteristics of repairable systems. The system’s PDF is important because it identifies failure rate, Mean Time Between Failures (MTBF), reliability, and relative probabilities. And since the pattern remains fixed until such time that significant changes are made to alter a system’s reliability, the PDF can be thought of as representing the system’s DNA.

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2018
• Langue: anglais
• ISBN 10: 1790352533
• ISBN 13: 9781790352531
• Reliure: Broché
• Nombre de pages: 169
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible