{"product_id":"applied-reliability-for-industry-1-predictive-reliability-for-the-automobile-aeronautics-defense-medical-marine-and-space-industries-hardback-9781786306913","title":"Applied Reliability for Industry 1; Predictive Reliability for the Automobile, Aeronautics, Defense, Medical, Marine and Space Industries (Hardback) 9781786306913","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eApplied Reliability for Industry 1\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003ePredictive Reliability for the Automobile, Aeronautics, Defense, Medical, Marine and Space Industries\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eAbdelkhalak El Hami (Edited by), El Hami (Author), David Delaux (Edited by), Henri Grzeskowiak (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781786306913, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 19 April 2023\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e256 pages\u003cbr\u003e23.5 x 15.6 x 1.7 cm, 0.63 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eApplied Reliability for Industry 1\u003c\/i\u003e illustrates the multidisciplinary state-of-the-art science of predictive reliability. Many experts are now convinced that reliability is not limited to statistical sciences. In fact, many different disciplines interact in order to bring a product to its highest possible level of reliability, made available through today's technologies, developments and production methods.\u003c\/p\u003e \u003cp\u003eThese three books, of which this is the first, propose new methods for analyzing the lifecycle of a system, enabling us to record the development phases according to development time and levels of complexity for its integration.\u003c\/p\u003e \u003cp\u003ePredictive reliability, as particularly focused on in \u003ci\u003eApplied Reliability for Industry 1\u003c\/i\u003e, examines all the engineering activities used to estimate or predict the reliability performance of the final mechatronic system.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eForeword xi\u003cbr\u003e\u003ci\u003ePhilippe EUDELINE\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003ePreface xiii\u003cbr\u003e\u003ci\u003eAbdelkhalak EL HAMI, David DELAUX and Henri GRZESKOWIAK\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 FIDES, a Method for Assessing and Building the Reliability of Electronic Systems 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eFranck DAVENEL\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 The inadequacy of existing methods 2\u003c\/p\u003e \u003cp\u003e1.1.1 MIL-HDBK-217F 2\u003c\/p\u003e \u003cp\u003e1.1.2 UTE-C-80810 (or RDF2000, or IEC 62380 TR Ed.1) 2\u003c\/p\u003e \u003cp\u003e1.1.3 PRISM or 217plus 2\u003c\/p\u003e \u003cp\u003e1.2 The ambition of FIDES 3\u003c\/p\u003e \u003cp\u003e1.3 General presentation of the FIDES method 5\u003c\/p\u003e \u003cp\u003e1.3.1 Failure rate 6\u003c\/p\u003e \u003cp\u003e1.3.2 The structure of FIDES models 7\u003c\/p\u003e \u003cp\u003e1.3.3 Physical models 8\u003c\/p\u003e \u003cp\u003e1.3.4 The exploitation of manufacturer data 8\u003c\/p\u003e \u003cp\u003e1.3.5 Exploiting databases of failure mechanisms (not failure rates) 9\u003c\/p\u003e \u003cp\u003e1.3.6 Life profile 10\u003c\/p\u003e \u003cp\u003e1.3.7 Other contributors 11\u003c\/p\u003e \u003cp\u003e1.3.8 Sensitivity of FIDES models 13\u003c\/p\u003e \u003cp\u003e1.3.9 Industrial applications 14\u003c\/p\u003e \u003cp\u003e1.4 Validity of reliability studies with FIDES 14\u003c\/p\u003e \u003cp\u003e1.5 Conclusion 16\u003c\/p\u003e \u003cp\u003e1.6 References 18\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Reliability in Maritime Transport: Choosing a Container Handling System 19\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJulien RULLIER, Benjamin ECHARD and Ghislaine DELAPAYRE\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 19\u003c\/p\u003e \u003cp\u003e2.2 Proposed case study 20\u003c\/p\u003e \u003cp\u003e2.3 Inputs of the RAMS approach 22\u003c\/p\u003e \u003cp\u003e2.3.1 Presentation of the system 22\u003c\/p\u003e \u003cp\u003e2.3.2 Component reliability data 25\u003c\/p\u003e \u003cp\u003e2.3.3 Reliability of carabiners over time 25\u003c\/p\u003e \u003cp\u003e2.4 Assessment of the system’s RAMS 31\u003c\/p\u003e \u003cp\u003e2.4.1 Reliability assessment 31\u003c\/p\u003e \u003cp\u003e2.4.2 Assessment of the intrinsic availability 32\u003c\/p\u003e \u003cp\u003e2.4.3 Maintainability assessment 33\u003c\/p\u003e \u003cp\u003e2.4.4 Safety assessment 33\u003c\/p\u003e \u003cp\u003e2.5 Conclusion 55\u003c\/p\u003e \u003cp\u003e2.5.1 FMECA or fault trees, how to choose? 55\u003c\/p\u003e \u003cp\u003e2.5.2 Pitfalls to avoid 57\u003c\/p\u003e \u003cp\u003e2.5.3 Note on low reliability targets in innovative systems 59\u003c\/p\u003e \u003cp\u003e2.6 General conclusion 59\u003c\/p\u003e \u003cp\u003e2.7 References 60\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Generation of a Failure Model through Probabilistic \"Stress--Strength\" Interaction in a Context of Poor Information 61\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eLambert PIERRAT\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 61\u003c\/p\u003e \u003cp\u003e3.2 Aims and objectives 62\u003c\/p\u003e \u003cp\u003e3.3 Choosing types of legislation 63\u003c\/p\u003e \u003cp\u003e3.3.1 Principle of maximum entropy 63\u003c\/p\u003e \u003cp\u003e3.3.2 The strength distribution 64\u003c\/p\u003e \u003cp\u003e3.3.3 The law of constraint 65\u003c\/p\u003e \u003cp\u003e3.3.4 Relationship between the two laws 66\u003c\/p\u003e \u003cp\u003e3.4 Probability of failure 67\u003c\/p\u003e \u003cp\u003e3.4.1 Formulation 67\u003c\/p\u003e \u003cp\u003e3.4.2 Analytical solution 68\u003c\/p\u003e \u003cp\u003e3.4.3 Parametric expression 69\u003c\/p\u003e \u003cp\u003e3.5 Safety factor 69\u003c\/p\u003e \u003cp\u003e3.5.1 Simplified expressions 70\u003c\/p\u003e \u003cp\u003e3.5.2 Validity limits 70\u003c\/p\u003e \u003cp\u003e3.6 Validation and applications 72\u003c\/p\u003e \u003cp\u003e3.6.1 Comparative analyses 72\u003c\/p\u003e \u003cp\u003e3.6.2 Applications 75\u003c\/p\u003e \u003cp\u003e3.7 Conclusion and extensions 79\u003c\/p\u003e \u003cp\u003e3.8 References 79\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Reliable Optimization of Dental Implants Using the Generalized Polynomial Chaos Method 83\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eFatma ABID, Abdelkhalak EL HAMI, Tarek MERZOUKI, Hassen TRABELSI, Lassaad WALHA and Mohamed HADDAR\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 83\u003c\/p\u003e \u003cp\u003e4.2 Stochastic approach 84\u003c\/p\u003e \u003cp\u003e4.2.1 The MC method 84\u003c\/p\u003e \u003cp\u003e4.2.2 The GPC method 85\u003c\/p\u003e \u003cp\u003e4.3 Deterministic design optimization 86\u003c\/p\u003e \u003cp\u003e4.4 Reliability-based design optimization 87\u003c\/p\u003e \u003cp\u003e4.4.1 The classic method 88\u003c\/p\u003e \u003cp\u003e4.4.2 OSF using GPC 89\u003c\/p\u003e \u003cp\u003e4.5 Numerical result 91\u003c\/p\u003e \u003cp\u003e4.5.1 2D dental implant 91\u003c\/p\u003e \u003cp\u003e4.6 Conclusion 96\u003c\/p\u003e \u003cp\u003e4.7 References 96\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Multi-objective Reliability Optimization Based on Substitution Models Applied Case Study of a Hip Prosthesis 101\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKhalil DAMMAK and Abdelkhalak EL HAMI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 101\u003c\/p\u003e \u003cp\u003e5.2 Description of metamodeling methods 103\u003c\/p\u003e \u003cp\u003e5.2.1 Application of a substitution model 103\u003c\/p\u003e \u003cp\u003e5.2.2 Construction of a metamodel 104\u003c\/p\u003e \u003cp\u003e5.2.3 Validation of metamodels 110\u003c\/p\u003e \u003cp\u003e5.3 Optimization of multi-objective design 111\u003c\/p\u003e \u003cp\u003e5.3.1 Deterministic MOO 111\u003c\/p\u003e \u003cp\u003e5.3.2 Reliability-based multi-objective design optimization 113\u003c\/p\u003e \u003cp\u003e5.4 RBMDO based on hip prosthesis surrogate models 114\u003c\/p\u003e \u003cp\u003e5.4.1 Deterministic simulation using the finite element method 114\u003c\/p\u003e \u003cp\u003e5.4.2 Construction of substitution models 116\u003c\/p\u003e \u003cp\u003e5.4.3 Optimization of multi-objective design based on reliability 118\u003c\/p\u003e \u003cp\u003e5.5 Conclusion 121\u003c\/p\u003e \u003cp\u003e5.6 References 122\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 CMA-ES Assisted by the Kriging Metamodel for the Optimization of Thermomechanical Performances of Mechatronic Packaging 129\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHamid HAMDANI, Bouchaib RADI and Abdelkhalak EL HAMI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 130\u003c\/p\u003e \u003cp\u003e6.2 Presentation of the system under study 131\u003c\/p\u003e \u003cp\u003e6.2.1 The case of wire bonding 133\u003c\/p\u003e \u003cp\u003e6.2.2 The case of solder joints 133\u003c\/p\u003e \u003cp\u003e6.3 Thermal fatigue models of solder joints 135\u003c\/p\u003e \u003cp\u003e6.3.1 The Coffin--Manson model 136\u003c\/p\u003e \u003cp\u003e6.3.2 The Morrow model 137\u003c\/p\u003e \u003cp\u003e6.3.3 The Coffin--Manson frequency-modified model 138\u003c\/p\u003e \u003cp\u003e6.3.4 The Morrow frequency-modified model 138\u003c\/p\u003e \u003cp\u003e6.3.5 The Darveaux model 138\u003c\/p\u003e \u003cp\u003e6.4 Modeling and finite element analysis of the PQFP housing 139\u003c\/p\u003e \u003cp\u003e6.4.1 Modeling 139\u003c\/p\u003e \u003cp\u003e6.4.2 Material properties 141\u003c\/p\u003e \u003cp\u003e6.4.3 Thermal load 142\u003c\/p\u003e \u003cp\u003e6.4.4 Fatigue model selected for solder joints 143\u003c\/p\u003e \u003cp\u003e6.4.5 Numerical results 144\u003c\/p\u003e \u003cp\u003e6.5 Evolutionary strategies 145\u003c\/p\u003e \u003cp\u003e6.5.1 Presentation of evolutionary strategies 145\u003c\/p\u003e \u003cp\u003e6.5.2 Principles of ESs 146\u003c\/p\u003e \u003cp\u003e6.5.3 Covariance matrix adaptation evolution strategy 146\u003c\/p\u003e \u003cp\u003e6.5.4 Metamodeling techniques 151\u003c\/p\u003e \u003cp\u003e6.5.5 Kriging-assisted CMA-ES 154\u003c\/p\u003e \u003cp\u003e6.6 Global optimization of the PQFP housing solder joints 158\u003c\/p\u003e \u003cp\u003e6.6.1 Formulation of the problem 158\u003c\/p\u003e \u003cp\u003e6.6.2 Numerical simulations 160\u003c\/p\u003e \u003cp\u003e6.7 Conclusion 162\u003c\/p\u003e \u003cp\u003e6.8 References 164\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Reliable Optimization of Vibro-acoustic Problems in the Presence of Uncertainties via Polynomial Chaos 171\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKhalil DAMMAK and Abdelkhalak EL HAMI\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 171\u003c\/p\u003e \u003cp\u003e7.2 Robust approaches to uncertainty propagation 172\u003c\/p\u003e \u003cp\u003e7.2.1 The Monte Carlo method 172\u003c\/p\u003e \u003cp\u003e7.2.2 Generalized polynomial chaos 174\u003c\/p\u003e \u003cp\u003e7.3 Structural optimization 180\u003c\/p\u003e \u003cp\u003e7.3.1 Formulation of the optimization problem 180\u003c\/p\u003e \u003cp\u003e7.3.2 Deterministic design optimization 181\u003c\/p\u003e \u003cp\u003e7.3.3 Reliability design optimization 182\u003c\/p\u003e \u003cp\u003e7.4 OSF method coupled with GPC applied to vibro-acoustic systems in the presence of uncertainties 187\u003c\/p\u003e \u003cp\u003e7.4.1 Deterministic model 191\u003c\/p\u003e \u003cp\u003e7.4.2 Probabilistic analysis 193\u003c\/p\u003e \u003cp\u003e7.4.3 OSF method coupled with GPC 194\u003c\/p\u003e \u003cp\u003e7.5 Conclusion 197\u003c\/p\u003e \u003cp\u003e7.6 References 197\u003c\/p\u003e \u003cp\u003eList of Authors 205\u003c\/p\u003e \u003cp\u003eIndex 207\u003c\/p\u003e \u003cp\u003eSummaries of other volumes 211\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-ISTE","offers":[{"title":"Brand New","offer_id":52446761124120,"sku":"9781786306913","price":111.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781786306913.jpg?v=1785113133","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/applied-reliability-for-industry-1-predictive-reliability-for-the-automobile-aeronautics-defense-medical-marine-and-space-industries-hardback-9781786306913","provider":"Freshly Printed Books","version":"1.0","type":"link"}