Modeling For Reliability Analysis: Markov Modeling For Reliability, Maintainability, Safety, And Supportability Analyses Of Complex Systems
暫譯: 可靠性分析建模：複雜系統的馬可夫建模以進行可靠性、可維護性、安全性和支援性分析

Description:

Electrical Engineering Modeling for Reliability Analysis Markov Modeling for Reliability, Maintainability, Safety, and Supportability Analyses of Complex Computer Systems IEEE Press Series on Engineering of Complex Computer Systems Phillip A. Laplante and Alexander D. Stoyen, Series Editors Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical applications. However, the elaborate computations required have often made Markov modeling too time-consuming to be of practical use on these complex systems. With this hands-on tool, designers can use the Markov modeling technique to analyze the safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today. Featuring groundbreaking simulation software and a comprehensive reference manual, Modeling for Reliability Analysis helps system designers surmount the mathematical computations that have previously prevented effective reliability analysis. The text and software compose a valuable self-study tool that is complete with detailed explanations, examples, and a library of Markov models that can be used for experiments and as derivations for new simulation models. The book details how these analyses are conducted, while providing hands-on instructions on how to develop reliability models for the full range of system configurations. Computer-Aided Rate Modeling and Simulation (CARMS) software is an integrated modeling tool that includes a diagram-based environment for model setup, a spreadsheet-like interface for data entry, an expert system link for automatic model construction, and an interactive graphic interface for displaying simulation results.

 

Table of Contents:

Series Introduction.

Preface.

Introduction.

System Requirements and Design.

Foundations of Probability Theory.

Basic Reliability Concepts.

Basic Reliability Models.

Markov Process Fundamentals.

Hardware Reliability Modeling.

Software Reliability Modeling.

Combined Hardware-Software Reliability Modeling.

Modeling of Large and Complex Systems.

Maintainability Modeling.

Availability Modeling.

Safety Modeling.

Markov Model Evaluation.

Effectiveness Modeling.

Support Analyses.

Application Examples.

Practical Design of Fault-Tolerant Systems.

CARMS User's Guide.

CARMS Model Library.

CARMS Reference.

Definitions and Acronyms.

References.

Index.

About the Authors.