Details

Reliability of Engineering Systems and Technological Risk


Reliability of Engineering Systems and Technological Risk


1. Aufl.

von: Vladimir Rykov

139,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 16.08.2016
ISBN/EAN: 9781119347415
Sprache: englisch
Anzahl Seiten: 228

DRM-geschütztes eBook, Sie benötigen z.B. Adobe Digital Editions und eine Adobe ID zum Lesen.

Beschreibungen

This book is based on a lecture course to students specializing in the safety of technological processes and production. <p>The author focuses on three main problems in technological risks and safety: elements of reliability theory, the basic notions, models and methods of general risk theory and some aspects of insurance in the context of risk management.</p> <p>Although the material in this book is aimed at those working towards a bachelor's degree in engineering, it may also be of interest to postgraduate students and specialists dealing with problems related to reliability and risks.</p>
<p>Preface ix</p> <p>Notations and Abbreviations xi</p> <p><b>Chapter 1. Reliability of Engineering Systems 1</b></p> <p>1.1. Basic notions and characteristics of reliability 1</p> <p>1.1.1. Basic notions 1</p> <p>1.1.2. Reliability of non-renewable units 3</p> <p>1.1.3. Some parametric families of continuous distributions of non-negative random variables 7</p> <p>1.1.4. Examples 21</p> <p>1.1.5. Exercises 23</p> <p>1.2. Reliability of renewable systems 24</p> <p>1.2.1. Reliability of instantaneously renewable articles 24</p> <p>1.2.2. Renewal function 30</p> <p>1.2.3. Age and residual lifetime of an article 34</p> <p>1.2.4. Reliability characteristics with regard to replacement time 37</p> <p>1.2.5. Examples 38</p> <p>1.2.6. Exercises 43</p> <p>1.3. Statistical analysis of reliability characteristics 44</p> <p>1.3.1. Introductory notes 44</p> <p>1.3.2. Observations and the plans of reliability trials 45</p> <p>1.3.3. Statistical analysis of reliability characteristics for trials under the basic plan 46</p> <p>1.3.4. Statistical estimation of the reliability characteristics and indexes for trials with renewable units 50</p> <p>1.3.5. Examples 52</p> <p>1.3.6. Exercises 54</p> <p>1.4. Structural reliability 54</p> <p>1.4.1. System structure function 55</p> <p>1.4.2. Monotone structures 57</p> <p>1.4.3. Reliability of monotone systems from independent elements 61</p> <p>1.4.4. Reliability function for monotone structures 63</p> <p>1.4.5. Exercises 64</p> <p>1.5. System life tree and its structure function 68</p> <p>1.5.1. Event tree 68</p> <p>1.5.2. An object structure scheme 69</p> <p>1.5.3. An example: the auto engine structure scheme 71</p> <p>1.5.4. Life tree and the system structure function 72</p> <p>1.5.5. Calculation of the system reliability 76</p> <p>1.5.6. System reliability function calculation  79</p> <p>1.6. Non-renewable redundant systems 82</p> <p>1.6.1. Basic redundancy means – terms 82</p> <p>1.6.2. Hot redundancy 84</p> <p>1.6.3. Cold redundancy 85</p> <p>1.6.4. Markov process for system reliability investigations 86</p> <p>1.6.5. Reliability properties of redundant systems 90</p> <p>1.6.6. A unit warranty operating time calculation 95</p> <p>1.6.7. Exercises 96</p> <p>1.7. Renewable redundant systems 97</p> <p>1.7.1. The model 97</p> <p>1.7.2. Equations for probabilities of the system states 99</p> <p>1.7.3. Steady state probabilities: system failure probability 100</p> <p>1.7.4. Reliability function for renewable systems 101</p> <p>1.7.5. Exercises 105</p> <p>1.8. Bibliographical comments 108</p> <p>1.8.1. Section 1.1 108</p> <p>1.8.2. Section 1.2 108</p> <p>1.8.3. Section 1.3 108</p> <p>1.8.4. Section 1.4 108</p> <p>1.8.5. Section 1.5 109</p> <p>1.8.6. Sections 1.6 and 1.7 109</p> <p><b>Chapter 2. Reliability and Risk 111</b></p> <p>2.1. Risk: notion and measurement 111</p> <p>2.1.1. Introductory notes 111</p> <p>2.1.2. Examples 112</p> <p>2.1.3. Risk notion 114</p> <p>2.1.4. Risk measurement 115</p> <p>2.1.5. Risk modeling 118</p> <p>2.1.6. Exercises 120</p> <p>2.2. Models of damage value 120</p> <p>2.2.1. Introductory remarks 120</p> <p>2.2.2. Simple damage models 121</p> <p>2.2.3. Compound damages. Methods of investigation 125</p> <p>2.2.4. Moments of compound damages 130</p> <p>2.2.5. Models of compound damages 132</p> <p>2.2.6. Examples 136</p> <p>2.2.7. Exercises 137</p> <p>2.3. Methods of risk analysis 137</p> <p>2.3.1. Introductory remarks 137</p> <p>2.3.2. Methodology of risk analysis 138</p> <p>2.3.3. Risk tree construction 139</p> <p>2.3.4. Risk tree rigging 143</p> <p>2.3.5. Risk tree analysis 144</p> <p>2.3.6. Exercise 157</p> <p>2.4. Bibliographical comments  158</p> <p>2.4.1. Section 2.1 158</p> <p>2.4.2. Section 2.2 158</p> <p>2.4.3. Section 2.3 158</p> <p><b>Chapter 3. Risk Management 159</b></p> <p>3.1. Insurance of risks and risk of insurance 159</p> <p>3.1.1. Introductory remarks 159</p> <p>3.1.2. Basic notions 159</p> <p>3.1.3. Risk insurance models 161</p> <p>3.1.4. Basic risk insurance problems 162</p> <p>3.1.5. Examples 163</p> <p>3.1.6. Exercises 167</p> <p>3.2. Some notions and methods of financial mathematics 168</p> <p>3.2.1. Principal notion of financial mathematics 168</p> <p>3.2.2. Simple interests 170</p> <p>3.2.3. Compound interests 172</p> <p>3.2.4. Cash flows and the financial rents 174</p> <p>3.2.5. Exercises 177</p> <p>3.3. Short-time insurance model investigation 179</p> <p>3.3.1. Introductory remarks 179</p> <p>3.3.2. Calculation of the individual claim indexes 180</p> <p>3.3.3. Exact calculation of summary claim characteristics 182</p> <p>3.3.4. Normal asymptotic of summary claim distribution 183</p> <p>3.3.5. Poisson asymptotic of summary claim distribution 184</p> <p>3.3.6. Calculation of insurance basic characteristics 185</p> <p>3.3.7. Exercises 187</p> <p>3.4. Long-time insurance model investigation 188</p> <p>3.4.1. Introductory remarks 188</p> <p>3.4.2. The basic parameters of long-time insurance contracts 189</p> <p>3.4.3. Insurance annuity analysis 190</p> <p>3.4.4. The net-premium calculation 192</p> <p>3.4.5. Insurance load calculation 193</p> <p>3.4.6. An example 195</p> <p>3.4.7. Exercises 198</p> <p>3.5. Bibliographical comments 198</p> <p>3.5.1. Section 3.1 198</p> <p>3.5.2. Section 3.2 198</p> <p>3.5.3. Sections 3.3 and 3.4 198</p> <p>Appendices 199</p> <p>Appendix 1 201</p> <p>Appendix 2 203</p> <p>Bibliography 207</p> <p>Index 209</p>
<p>"Although the material in this book is aimed at those working towards a bachelor's degree in engineering, it may also be of interest to postgraduate students and specialists dealing with problems related to reliability and risks." (<i>Zentralballt MATH</i>, 2016)</p>
<p><b>Vladimir Rykov</b> is Professor in the Applied Mathematics and Computer Modeling Department of the Gubkin Russian State Oil and Gas University in Moscow. His main interests include controllable queueing systems and reliability theory.</p>

Diese Produkte könnten Sie auch interessieren:

Strategies to the Prediction, Mitigation and Management of Product Obsolescence
Strategies to the Prediction, Mitigation and Management of Product Obsolescence
von: Bjoern Bartels, Ulrich Ermel, Peter Sandborn, Michael G. Pecht
PDF ebook
116,99 €