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  • 空间故障树理论与系统可靠性分析 崔铁军,李莎莎 编 专业科技 文轩网
  • 新华书店正版
    • 作者: Tiejun CUI//Shasha Li著
    • 出版社: 科学出版社
    • 出版时间:2021-07-01 00:00:00
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    商品参数
    • 作者: Tiejun CUI//Shasha Li著
    • 出版社:科学出版社
    • 出版时间:2021-07-01 00:00:00
    • 版次:1
    • 印次:1
    • 印刷时间:2021-07-01
    • 字数:250000
    • 页数:228
    • 开本:16开
    • 装帧:平装
    • ISBN:9787030660343
    • 国别/地区:中国
    • 版权提供:科学出版社

    空间故障树理论与系统可靠性分析

    作  者:崔铁军,李莎莎 编
    定  价:128
    出 版 社:科学出版社
    出版日期:2021年08月01日
    页  数:
    装  帧:平装
    ISBN:9787030660343
    主编推荐

    内容简介

    本书总结了这六年来空间故障树理论发展的核心成果。将这些内容形成体系,并首次以英文专著形式出版。空间故障树理论是一套完整的,独立的系统可靠性分析框架;具有良好的适应性、扩展性和通用性,是自成体系的方法论。本书以理论建立和推导为主,并辅以算例分析。按照理论发展过程编排结构。给出了空间故障树的基本概念、思想、方法、结论等,并有机地贯串在一起,形成层次合理的理论体系,既内容丰富,又显得条理清楚。为体现方法本身特点和分析过程,使用了较为简单的例子。以使读者了解思想,不纠结于复杂的过程,进而突出方法本身。同时本书面向安全领域和系统可靠性研究人员,因此我们更注重于可靠性研究的思想传递,以便开阔研究思路。

    作者简介

    精彩内容

    目录
    Content Summary
    Introduction
    Chapter 1 Introduction 1
    1.1 Purpose and Significance 1
    1.2 Summary of Research and Problems 2
    1.2.1 Fault Tree Research 2
    1.2.2 Multi-Factor Influence and Fault Big Data 3
    1.2.3 System Function Structure Analysis and Factor Space 
    1.2.4 System Reliability and Influencing Factors 
    1.2.5 loud Model and Similarity 8
    1.2.6 Object Calassification and Similarity 11
    1.3 Deficiency of System Reliability 12
    1.4 Main Research Content 14
    References 16
    Chapter 2 Continuous Space Fault Tree 23
    2.1 Concepts of CSFT 24
    2.2 Fault Probability Distribution 26
    2.2.1 Component Fault Probability Distribution 26
    2.2.2 System Fault Probability Distribution 28
    2.3 Importance Distributions 35
    2.3.1 Probability Importance Distribution 35
    2.3.2 Criticality Importance Distribution 37
    2.4 System Fault Probability Distribution Trend 50
    2.5 Calculation of MTLα 50
    2.6 Conclusions 53
    References 59
    Chapter 3 Discrete Space Fault Tree 61
    3.1 Discrete Space Fault Tree 61
    3.2 Significance of DSFT Modifed Using Fuzzy Structured Element 65
    3.3 Factor Projection Fitting Metho 66
    3.4 Constructions and Applications of EDSFT 69
    3.4.1 E-Characteristic Function 69
    3.4.2 E-Component Fault Probability Distribution 73
    3.4.3 E-System Fault Probability Distribution 74
    3.4.4 E-Probability Importance Distribution 74
    3.4.5 E-Criticality Importance Distribution 75
    3.4.6 E-System Fault Probability Distribution Trend 75
    3.4.7 E-Component Domain Importance 76
    3.4.8 E-Factor Importance Distribution 78
    3.4.9 EFactor Joint Importance Distribution 79
    3.5 Conclusions 79
    References 80
    Chapter 4 Inward Analysis of System Factor Structure 83
    4.1 Inward Analysis of System Factor Structure 84
    4.2 Human-Machine Cognition 86
    4.3 Table Method 87
    4.4 Classification Reasoning Method 88
    4.5 Mathematical Description of Cassification Reasoning Method 93
    4.6 Item-By-Item Analyses 94
    4.7 Mathematical Description of Item- By-Item Analyses 95
    4.8 Conclusions 98
    References 99
    Chapter 5 Function Structure Analysis and Factor Space 101
    5.1 Factor Analysis Method of Function Structue 103
    5.1.1 Factors and Dimension Variabitity 103
    5.1.2 Function Structure Analysis Space 104
    5.2 Factor Logic Description of Function Structure 105
    5.2.1 Axiom System of Function Structure Analyis 105
    5.2.2 Minimization Method of System Function Structure 109
    5.3 Analysis of System Function Structure 110
    5.3.1 Analysis with Incomplete Information 111
    5.3.2 Analysis with Complete Information 113
    Reference 117
    Chapter 6 System Reliability with Influencing Factors 119
    6.1 Methodology of Concepts and Definition 121
    6.2 Analysis of Relationship between Reliability and Infuencing Factors 124
    6.2.1 Random Variable Decomposition Fomula 124
    6.2.2 Causal Relationship Reasoning 126
    6.2.3 Causal Concept Extraction 127
    6.2.4 Background Relationship Analysis 127
    6.2.5 Factor Dimension Reduction 128
    6.2.6 Compression of Fault Probability Distribution 130
    6.3 Algorithm Applation 132
    6.3.1 Random Variable Decomposition Formula 132
    6.3.2 Causal Relationship Reasoning 136
    6.3.3 Causal Concept Extraction 144
    6.3.4 Background Relationship Analysi 147
    6.3.5 Factor Dimension Reduction 150
    6.3.6 Cormpression of Fault Probability Distribution 153
    6.4 Conclusions 156
    References 158
    Chapter 7 Cloudiation Space Fault Tee 161
    7.1 Definitions of SFT 163
    7.2 Construction of Cloudization Space Fault Tree 163
    72.1 Basis of CLSFT 163
    7.2.2 Cloudization Fauit Pobability Distribution 164
    7.2.3 Cloudization Fauit Pobability Distribution Trend 165
    7.2.4 Cloudization Importance Distribution Probability and Criticality 165
    7.2.5 Cloudization Factor Importance and Joint Importance Distribution 166
    7.2.6 Cloudization Component Domain Importance 167
    7.2.7 Cloudization Path Set Domain and Cut Set Domain 168
    7.2.8 Uncertainty Analysis of Rlibility Data 168
    7.3 Example Analysis 169
    7.3.1 Cloudization Fault Probability Distribution 170
    7.3.2 Cloudization Fault Probability Distribution Trend 172
    7.3.3 Cloudization Importance Distribution Probability and Criticality 178
    7.3.4 Cloudization Importance Distribution of Factor and Factor Joint 181
    7.3.5 Cloudization Component Domain Importance 185
    7.3.6 Cloudization Path Set Domain and Cut Set Domain 187
    73.7 Uncertainty Analysis of Reliability Data 187
    7.4 Conclusions 196
    References 196
    Chapter 8 Cloud Similarity 199
    8.1 Similarity Algorithms of Cloud Model 199
    8.2 Cloud Similarity Computation Based on Envelope 201
    8.3 Algorithm Application 203
    8.4 Analyses of Algorithm Advantage 205
    8.5 Conclusions 206
    References 206
    Chapter 9 Clustering Analysis and Similarity 207
    9.1 Preliminary K nowledge 207
    9.2 Concepts and Properties of Attribute Circle 209
    ……

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