Modeling for reliability analysis : Markov modeling for reliability, maintainability, safety, and supportability analyses of complex computer systems / Jan Pukite, Paul Pukite.
Material type: TextSeries: IEEE Press series on engineering of complex computer systems ; 2Publisher: New York : IEEE Press, c1998Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [1998]Description: 1 PDF (xix, 258 pages) : illustrationsContent type:- text
- electronic
- online resource
- 9780470545317
- Computer engineering
- Reliability (Engineering) -- Mathematical models
- Accuracy
- Aerospace electronics
- Aircraft
- Aircraft navigation
- Analytical models
- Approximation methods
- Assembly
- Availability
- Bibliographies
- Biographies
- Biological system modeling
- Calculus
- Central Processing Unit
- Circuit faults
- Complexity theory
- Computational modeling
- Convolution
- Data models
- Databases
- Distribution functions
- Doppler radar
- Equations
- Error analysis
- Expert systems
- Fault detection
- Fault tolerance
- Fault tolerant systems
- Fault trees
- Hardware
- Indexes
- Injuries
- Integrated circuit modeling
- Load modeling
- Loading
- Logistics
- Maintenance engineering
- Markov processes
- Mathematical model
- Mice
- Noise
- Numerical models
- Operating systems
- Positron emission tomography
- Pressing
- Probabilistic logic
- Probability
- Random variables
- Read only memory
- Redundancy
- Reliability
- Reliability engineering
- Safety
- Silicon
- Software
- Software reliability
- Solid modeling
- Steady-state
- System analysis and design
- System performance
- Terminology
- Testing
- Tires
- Vectors
- Weapons
- Weibull distribution
- 004.2/1/01176
Includes bibliographical references (p. 245-248) and index.
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.
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"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 safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today. Featuring ground-breaking simulation software and a comprehensive reference manual, MARKOV 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 instruction 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.".
Also available in print.
Mode of access: World Wide Web
Description based on PDF viewed 12/21/2015.
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