Modeling for reliability analysis : (Record no. 73833)

000 -LEADER
fixed length control field 06254nam a2201309 i 4500
001 - CONTROL NUMBER
control field 5263338
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712205630.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100317t20151998nyua ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780470545317
-- electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic
082 04 - CLASSIFICATION NUMBER
Call Number 004.2/1/01176
100 1# - AUTHOR NAME
Author Pukite, Jan,
245 10 - TITLE STATEMENT
Title Modeling for reliability analysis :
Sub Title Markov modeling for reliability, maintainability, safety, and supportability analyses of complex computer systems /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (xix, 258 pages) :
490 1# - SERIES STATEMENT
Series statement IEEE Press series on engineering of complex computer systems ;
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc "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.".
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
Subject Computer engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
Subject Reliability (Engineering)
General subdivision Mathematical models.
700 1# - AUTHOR 2
Author 2 Pukite, Paul.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5263338
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- New York :
-- IEEE Press,
-- c1998.
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [1998]
336 ## -
-- text
-- rdacontent
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-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- Description based on PDF viewed 12/21/2015.
695 ## -
-- Accuracy
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-- Aerospace electronics
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-- Aircraft
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-- Aircraft navigation
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-- Analytical models
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-- Approximation methods
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-- Assembly
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-- Availability
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-- Bibliographies
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-- Biographies
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-- Biological system modeling
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-- Calculus
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-- Central Processing Unit
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-- Circuit faults
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-- Complexity theory
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-- Computational modeling
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-- Convolution
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-- Data models
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-- Databases
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-- Distribution functions
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-- Doppler radar
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-- Equations
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-- Error analysis
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-- Expert systems
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-- Fault detection
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-- Fault tolerance
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-- Fault tolerant systems
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-- Fault trees
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-- Hardware
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-- Indexes
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-- Injuries
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-- Integrated circuit modeling
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-- Load modeling
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-- Loading
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-- Logistics
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-- Maintenance engineering
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-- Markov processes
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-- Mathematical model
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-- Mice
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-- Noise
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-- Numerical models
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-- Operating systems
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-- Positron emission tomography
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-- Pressing
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-- Probabilistic logic
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-- Probability
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-- Random variables
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-- Read only memory
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-- Redundancy
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-- Reliability
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-- Reliability engineering
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-- Safety
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-- Silicon
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-- Software
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-- Software reliability
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-- Solid modeling
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-- Steady-state
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-- System analysis and design
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-- System performance
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-- Terminology
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-- Testing
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-- Tires
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-- Vectors
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-- Weapons
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-- Weibull distribution

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