Verfügbarkeit: The Monte Carlo simulation method for system reliability and risk analysis

The Monte Carlo simulation method for system reliability and risk analysis:

<p>Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed. <i>The Monte Carlo Simulation Method for System Reliability and Risk Analysis </i>comprehensively...

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1. Verfasser:	Zio, Enrico 1966- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	London [u.a.] Springer 2013
Schriftenreihe:	Springer series in reliability engineering
Schlagworte:	Informatik Ingenieurwissenschaften Engineering Computer science Distribution (Probability theory) Engineering mathematics Monte-Carlo-Simulation Zuverlässigkeit Risikoanalyse Reliabilität
Online-Zugang:	BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FWS01 UBY01 Volltext Inhaltsverzeichnis Abstract
Zusammenfassung:	<p>Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed. <i>The Monte Carlo Simulation Method for System Reliability and Risk Analysis </i>comprehensively illustrates the Monte Carlo simulation method and its application to reliability and system engineering. Readers are given a sound understanding of the fundamentals of Monte Carlo sampling and simulation and its application for realistic system modeling.</p><p> </p><p>Whilst many of the topics rely on a high-level understanding of calculus, probability and statistics, simple academic examples will be provided in support to the explanation of the theoretical foundations to facilitate comprehension of the subject matter. Case studies will be introduced to provide the practical value of the most advanced techniques. </p><p> </p><p>This detailed approach makes <i>The Monte Carlo Simulation Method for System Reliability and Risk Analysis </i>a key reference for senior undergraduate and graduate students as well as researchers and practitioners. It provides a powerful tool for all those involved in system analysis for reliability, maintenance and risk evaluations.</p>
Beschreibung:	<p>1.Introduction -- 2.System Reliability and Risk Analysis -- 3.Monte Carlo Simulation- the Method -- 4.System Reliability and Risk Analysis by Monte Carlo Simulation -- 5.Practical Applications of Monte Carlo Simulation for System Reliability Analysis -- 6.Advanced Mont Carlo Simulation Techniques for System Failure Probability Estimation -- 7.Practical Applications of Advanced Monte Carlo Simulation Techniques for System Techniques for System Failure Probability Estimation</p>
Beschreibung:	1 Online-Ressource (XIV, 198 p. 69 illus., 24 illus. in color)
ISBN:	9781447145882
DOI:	10.1007/978-1-4471-4588-2

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adam_text	THE MONTE CARLO SIMULATION METHOD FOR SYSTEM RELIABILITY AND RISK ANALYSIS / ZIO, ENRICO : 2013 TABLE OF CONTENTS / INHALTSVERZEICHNIS 1.INTRODUCTION 2.SYSTEM RELIABILITY AND RISK ANALYSIS 3.MONTE CARLO SIMULATION- THE METHOD 4.SYSTEM RELIABILITY AND RISK ANALYSIS BY MONTE CARLO SIMULATION 5.PRACTICAL APPLICATIONS OF MONTE CARLO SIMULATION FOR SYSTEM RELIABILITY ANALYSIS 6.ADVANCED MONT CARLO SIMULATION TECHNIQUES FOR SYSTEM FAILURE PROBABILITY ESTIMATION 7.PRACTICAL APPLICATIONS OF ADVANCED MONTE CARLO SIMULATION TECHNIQUES FOR SYSTEM TECHNIQUES FOR SYSTEM FAILURE PROBABILITY ESTIMATION DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. THE MONTE CARLO SIMULATION METHOD FOR SYSTEM RELIABILITY AND RISK ANALYSIS / ZIO, ENRICO : 2013 ABSTRACT / INHALTSTEXT MONTE CARLO SIMULATION IS ONE OF THE BEST TOOLS FOR PERFORMING REALISTIC ANALYSIS OF COMPLEX SYSTEMS AS IT ALLOWS MOST OF THE LIMITING ASSUMPTIONS ON SYSTEM BEHAVIOR TO BE RELAXED. THE MONTE CARLO SIMULATION METHOD FOR SYSTEM RELIABILITY AND RISK ANALYSIS COMPREHENSIVELY ILLUSTRATES THE MONTE CARLO SIMULATION METHOD AND ITS APPLICATION TO RELIABILITY AND SYSTEM ENGINEERING. READERS ARE GIVEN A SOUND UNDERSTANDING OF THE FUNDAMENTALS OF MONTE CARLO SAMPLING AND SIMULATION AND ITS APPLICATION FOR REALISTIC SYSTEM MODELING. WHILST MANY OF THE TOPICS RELY ON A HIGH-LEVEL UNDERSTANDING OF CALCULUS, PROBABILITY AND STATISTICS, SIMPLE ACADEMIC EXAMPLES WILL BE PROVIDED IN SUPPORT TO THE EXPLANATION OF THE THEORETICAL FOUNDATIONS TO FACILITATE COMPREHENSION OF THE SUBJECT MATTER. CASE STUDIES WILL BE INTRODUCED TO PROVIDE THE PRACTICAL VALUE OF THE MOST ADVANCED TECHNIQUES. THIS DETAILED APPROACH MAKES THE MONTE CARLO SIMULATION METHOD FOR SYSTEM RELIABILITY AND RISK ANALYSIS A KEY REFERENCE FOR SENIOR UNDERGRADUATE AND GRADUATE STUDENTS AS WELL AS RESEARCHERS AND PRACTITIONERS. IT PROVIDES A POWERFUL TOOL FOR ALL THOSE INVOLVED IN SYSTEM ANALYSIS FOR RELIABILITY, MAINTENANCE AND RISK EVALUATIONS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spellingShingle	Zio, Enrico 1966- The Monte Carlo simulation method for system reliability and risk analysis Informatik Ingenieurwissenschaften Engineering Computer science Distribution (Probability theory) Engineering mathematics Monte-Carlo-Simulation (DE-588)4240945-7 gnd Zuverlässigkeit (DE-588)4059245-5 gnd Risikoanalyse (DE-588)4137042-9 gnd Reliabilität (DE-588)4213628-3 gnd
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title	The Monte Carlo simulation method for system reliability and risk analysis
title_auth	The Monte Carlo simulation method for system reliability and risk analysis
title_exact_search	The Monte Carlo simulation method for system reliability and risk analysis
title_full	The Monte Carlo simulation method for system reliability and risk analysis Enrico Zio
title_fullStr	The Monte Carlo simulation method for system reliability and risk analysis Enrico Zio
title_full_unstemmed	The Monte Carlo simulation method for system reliability and risk analysis Enrico Zio
title_short	The Monte Carlo simulation method for system reliability and risk analysis
title_sort	the monte carlo simulation method for system reliability and risk analysis
topic	Informatik Ingenieurwissenschaften Engineering Computer science Distribution (Probability theory) Engineering mathematics Monte-Carlo-Simulation (DE-588)4240945-7 gnd Zuverlässigkeit (DE-588)4059245-5 gnd Risikoanalyse (DE-588)4137042-9 gnd Reliabilität (DE-588)4213628-3 gnd
topic_facet	Informatik Ingenieurwissenschaften Engineering Computer science Distribution (Probability theory) Engineering mathematics Monte-Carlo-Simulation Zuverlässigkeit Risikoanalyse Reliabilität
url	https://doi.org/10.1007/978-1-4471-4588-2 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025666081&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025666081&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT zioenrico themontecarlosimulationmethodforsystemreliabilityandriskanalysis

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