Industrial quality control Books

Book SynopsisQualitätsmanagement ist Querschnittsaufgabe und ist daher in Wirtschaft, Verwaltung, Gesundheitswesen, Bankwesen, Versicherungswirtschaft usw. wahrzunehmen. Das vorliegende Handbuch Qualität dient dabei als Helfer und sicherer Ratgeber für richtige Entscheidungen. Dieses Fachbuch gibt dem Leser zu den Grundlagen und zu fast jedem Teilgebiet eine fundierte und in sich geschlossene Orientierung in der kaum noch überblickbaren fachlichen Meinungsvielfalt. Das Handbuch Qualität zeichnet sich durch eine unmissverständliche, zielführende Terminologie für alle behandelten Grundlagen und Teilgebiete des Qualitätsmanagements aus. In der vorliegenden Auflage wurde besonderer Wert auf Normenaktualität gelegt, textliche Verbesserungen vorgenommen und die Aussagekraft der Abbildungen erhöht.Trade Review"Das Handbuch vermittelt das Rüstzeug für den Qualitätsmanager. Es bietet eine hervorragende Systematik und Begriffsbestimmung. Der Leser lernt auch die wichtigen statistischen und anderen Methoden kennen, die bei der Qualitätsmessung und Qualitätssicherung maßgeblich sind. Die Fülle der vorgestellten Werkzeuge, Methoden und Modelle machen es zu einem wertvollen, aber auch anspruchsvollen Nachschlagewerk." www.business-wissen.de, 15.12.2008 "Insgesamt zeichnet sich das Buch durch gute Lesbarkeit sowie klare und zielführende Darstellungen der Sachverhalte aus. Ein Abkürzungsverzeichnis sowie eine kurz gehaltene Gegenüberstellung englischer und deutscher Fachbegriffe sind eine dem Leser sicher willkommene Bereicherung des Werkes." RDV 1/2008 "Dieses Buch gilt Branchen unabhängig. Sein Inhalt gründet sich auf mehr als drei Jahrzehnte Wissenssammlung und Erfahrungen, national und international, in Praxis und Theorie." www.pro-manager.de, 04.01.2006Table of ContentsGrundlagen des Qualitätsmanagements: Besonderheiten und Bedeutung - Modellvorstellungen - Fach- und Sachbegriffe - Risiko und Sicherheit - Forderungsplanung - Qualitätsverbesserung - QM-System - TQM - Qualität und Recht. Teilgebiete des Qualitätsmanagements: Qualität und Kosten - Messunsicherheit - Abweichungsfortpflanzung und abgestufte Grenzwerte - SPC - Statistische Verfahren, Tests und Versuchsplanung - Normierte Qualitätsbeurteilung - Qualitätsregelkarten - Selbstprüfung - Dokumentation

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisIf your goal is 100% zero defects, here is the book for you — a completely illustrated guide to poka-yoke (mistake-proofing) for supervisors and shop-floor workers. Many poka-yoke ideas come from line workers and are implemented with the help of engineering staff or tooling or machine specialists. The result is better product quality and greater participation by workers in efforts to improve your processes, your products, and your company as a whole.The first section of the book uses a simple, illustrated format to summarize many of the concepts and main features of poka-yoke. The second section shows 240 examples of poka-yoke improvements implemented in Japanese plants.The book: Organizes examples according to the broad issue or problem they address. Pinpoints how poka-yoke applies to specific devices, parts and products, categories of improvement methods, and processes. Provides sample improvement forms for you to sketch out your own ideas. Table of ContentsPublisher's ForewordPrefaceIntroductionOverview of Poka-yoke240 Poka-Yoke ExamplesProcessing ErrorsAssembly ErrorsMounting ErrorsInclusion of Wrong ItemsInsertion ErrorsAssembly OmissionsProcessing OmissionsMeasurement ErrorsDimensional ErrorsOmissions of OperationsOperations ErrorsPasting/Labeling ErrorsInspection ErrorsWiring/Contact ErrorsPainting ErrorsPrinting ErrorsMisalignment Set-Up ErrorsPacking/Wrapping ErrorsMismatched Jigs and DiesRinsing ErrorsMiscellaneous ProblemsImprovement FormIndexes

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Book SynopsisMonitoring and diagnosis of electrical machine faults is a scientific and economic issue which is motivated by objectives for reliability and serviceability in electrical drives. This book provides a survey of the techniques used to detect the faults occurring in electrical drives: electrical, thermal and mechanical faults of the electrical machine, faults of the static converter and faults of the energy storage unit. Diagnosis of faults occurring in electrical drives is an essential part of a global monitoring system used to improve reliability and serviceability. This diagnosis is performed with a large variety of techniques: parameter estimation, state observation, Kalman filtering, spectral analysis, neural networks, fuzzy logic, artificial intelligence, etc. Particular emphasis in this book is put on the modeling of the electrical machine in faulty situations. Electrical Machines Diagnosis presents original results obtained mainly by French researchers in different domains. It will be useful as a guideline for the conception of more robust electrical machines and indeed for engineers who have to monitor and maintain electrical drives. As the monitoring and diagnosis of electrical machines is still an open domain, this book will also be very useful to researchers.Table of ContentsPreface xi Chapter 1. Faults in Electrical Machines and their Diagnosis 1 Sadok BAZINE and Jean-Claude TRIGEASSOU 1.1. Introduction 1 1.2. Composition of induction machines 3 1.3. Failures in induction machines 5 1.4. Overview of methods for diagnosing induction machines 10 1.5. Conclusion 18 1.6. Bibliography 19 Chapter 2. Modeling Induction Machine Winding Faults for Diagnosis 23 Emmanuel SCHAEFFER and Smail BACHIR 2.1. Introduction 23 2.2. Study framework and general methodology 26 2.3. Model of the machine with a stator insulation fault 40 2.4. Generalization of the approach to the coupled modeling of stator and rotor faults 51 2.5. Methodology for monitoring the induction machine 57 2.6. Conclusion 64 2.7. Bibliography 67 Chapter 3. Closed-Loop Diagnosis of the Induction Machine 69 Imène BEN AMEUR BAZINE, Jean-Claude TRIGEASSOU, Khaled JELASSI and Thierry POINOT 3.1. Introduction 69 3.2. Closed-loop identification 71 3.3. General methodology of closed-loop identification of induction machine 74 3.4. Closed-loop diagnosis of simultaneous stator/rotor faults 82 3.5. Conclusion 89 3.6. Bibliography 90 Chapter 4. Induction Machine Diagnosis Using Observers 93 Guy CLERC and Jean-Claude MARQUES 4.1. Introduction 93 4.2. Model presentation 96 4.3. Observers 104 4.4. Applying observers to diagnostics 119 4.5. Conclusion 127 4.6. Bibliography 128 Chapter 5. Thermal Monitoring of the Induction Machine 131 Luc LORON and Emmanuel FOULON 5.1. Introduction 131 5.2. Real-time parametric estimation by Kalman filter 137 5.3. Electrical models for the thermal monitoring 142 5.4. Experimental system 149 5.5. Experimental results 157 5.6. Conclusion 162 5.7. Appendix: induction machine characteristics 163 5.8. Bibliography 163 Chapter 6. Diagnosis of the Internal Resistance of an Automotive Lead-acid Battery by the Implementation of a Model Invalidation-based Approach: Application to Crankability Estimation 167 Jocelyn SABATIER, Mikaël CUGNET, Stéphane LARUELLE, Sylvie GRUGEON, Isabelle CHANTEUR, Bernard SAHUT, Alain OUSTALOUP and Jean-Marie TARASCON 6.1. Introduction 167 6.2. Fractional model of a lead-acid battery for the start-up phase 169 6.3. Identification of the fractional model 171 6.4. Battery resistance as crankability estimator 175 6.5. Model validation and estimation of the battery resistance 178 6.6. Toward a battery state estimator 188 6.7. Conclusion 188 6.8. Bibliography 190 Chapter 7. Electrical and Mechanical Faults Diagnosis of Induction Machines using Signal Analysis 193 Hubert RAZIK and Mohamed EL KAMEL OUMAAMAR 7.1. Introduction 193 7.2. The spectrum of the current line 194 7.3. Signal processing 196 7.4. Signal analysis from experiment campaigns 199 7.5. Conclusion 222 7.6. Appendices 223 7.7. Bibliography 224 Chapter 8. Fault Diagnosis of the Induction Machine by Neural Networks 227 Monia Ben Khader BOUZID, Najiba MRABET BELLAAJ, Khaled JELASSI, Gérard CHAMPENOIS and Sandrine MOREAU 8.1. Introduction 227 8.2. Methodology of the use of the ANN in the diagnostic domain 228 8.3. Description of the monitoring system 232 8.4. The detection problem 233 8.5. The proposed method for the robust detection 235 8.6. Signature of the stator and rotor faults 237 8.7. Detection of the faults by the RNd neural network 244 8.8. Diagnosis of the stator fault 251 8.9. Diagnosis of the rotor fault 263 8.10. Complete monitoring system of the induction machine 267 8.11. Conclusion 268 8.12. Bibliography 269 Chapter 9. Faults Detection and Diagnosis in a Static Converter 271 Mohamed BENBOUZID, Claude DELPHA, Zoubir KHATIR, Stéphane LEFEBVRE and Demba DIALLO 9.1. Introduction 271 9.2. Detection and diagnosis 273 9.3. Thermal fatigue of power electronic moduli and failure modes 294 9.4. Conclusion 316 9.5. Bibliography 316 List of Authors 321 Index 327

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Book SynopsisFault tree analysis is an important technique in determining the safety and dependability of complex systems. Fault trees are used as a major tool in the study of system safety as well as in reliability and availability studies. The basic methods – construction, logical analysis, probability evaluation and influence study – are described in this book. The following extensions of fault trees, non-coherent fault trees, fault trees with delay and multi-performance fault trees, are also explained. Traditional algorithms for fault tree analysis are presented, as well as more recent algorithms based on binary decision diagrams (BDD).Table of ContentsIntroduction 11 Chapter 1 Single-Component Systems 17 1.1 Distribution of failure and reliability 17 1.1.1 Function of distribution and density of failure 17 1.1.2 Survival function: reliability 18 1.1.3 Hazard rate 19 1.1.4 Maintainability 19 1.1.5 Mean times 20 1.1.6 Mean residual lifetime 21 1.1.7 Fundamental relationships 21 1.1.8 Some probability distributions 22 1.2 Availability of the repairable systems 25 1.2.1 Instantaneous availability 25 1.2.2 Asymptotic availability 26 1.2.3 Mean availability 26 1.2.4 Asymptotic mean availability 27 1.3 Reliability in discrete time 27 1.3.1 Discrete distributions 28 1.3.2 Reliability 28 1.4 Reliability and maintenance 29 1.4.1 Periodic test: repair time is negligible 29 1.4.2 Periodic test: repair time is not negligible 30 1.4.3 Mean duration of a hidden failure 30 1.5 Reliability data 31 Chapter 2 Multi-Component Systems 33 2.1 Structure function 33 2.2 Modules andmodular decomposition 36 2.3 Elementary structure systems 37 2.3.1 Series system 37 2.3.2 Parallel system 38 2.3.3 System k-out-of-n 38 2.3.4 Parallel-series system 39 2.3.5 Series-parallel system 39 2.4 Systems with complex structure 40 2.5 Probabilistic study of the systems 42 2.5.1 Introduction 42 2.5.2 Inclusion-exclusion method 43 2.5.3 Disjoint products 44 2.5.4 Factorization 46 2.5.5 Reliability bounds 46 Chapter 3 Construction of Fault Trees 49 3.1 Basic ideas and definitions 49 3.1.1 Graphic symbols 52 3.1.2 Use of the operators 53 3.2 Formal definition and graphs 56 3.3 Stages of construction 57 3.3.1 Preliminary analysis 58 3.3.2 Specifications 59 3.3.3 Construction 59 3.4 Example of construction 60 3.4.1 Preliminary analysis 60 3.4.2 Specifications 62 3.4.3 Construction 62 3.5 Automatic construction 63 Chapter 4 Minimal Sets 67 4.1 Introduction 67 4.2 Methods of study 68 4.2.1 Direct methods 68 4.2.2 Descending methods 71 4.2.3 Ascending methods 73 4.3 Reduction 74 4.4 Other algorithms for searching the cut sets 75 4.5 Inversion of minimal cut sets 76 4.6 Complexity of the search for minimal cut sets 78 Chapter 5 Probabilistic Assessment 79 5.1 The problem of assessment 79 5.2 Direct methods 80 5.2.1 AND operator 81 5.2.2 OR operator 81 5.2.3 Exclusive OR operator 82 5.2.4 k-out-of-n operator 83 5.2.5 Priority-AND operator 83 5.2.6 IF operator 83 5.3 Methods of minimal sets 84 5.3.1 Inclusion-exclusion development 84 5.3.2 Disjoint products 85 5.3.3 Kitt method 86 5.4 Method of factorization 88 5.5 Direct recursive methods 90 5.5.1 Recursive inclusion-exclusion method 90 5.5.2 Method of recursive disjoint products 91 5.6 Other methods for calculating the fault trees 92 5.7 Large fault trees 93 5.7.1 Method of Modarres and Dezfuli [MOD 84] 93 5.7.2 Method of Hughes [HUG 87] 94 5.7.3 Schneeweiss method [SCH 87] 95 5.7.4 Brown method [BRO 90] 95 Chapter 6 Influence Assessment 97 6.1 Uncertainty 97 6.1.1 Introduction 97 6.1.2 Methods for evaluating the uncertainty 98 6.1.3 Evaluation of the moments 99 6.2 Importance 103 6.2.1 Introduction 103 6.2.2 Structural importance factors 105 6.2.3 Probabilistic importance factors 106 6.2.4 Importance factors over the uncertainty 109 Chapter 7 Modules – Phases – Common Modes 111 7.1 Introduction 111 7.2 Modular decomposition of an FT 111 7.2.1 Module and better modular representation 111 7.2.2 Modularization of a fault tree 114 7.3 Multiphase fault trees 116 7.3.1 Example 117 7.3.2 Transformation of a multiphase system 118 7.3.3 Method of eliminating the minimal cut sets 118 7.4 Common mode failures 119 Chapter 8 Extensions: Non-Coherent, Delay and Multistate Fault Trees 123 8.1 Non-coherent fault trees 123 8.1.1 Introduction 123 8.1.2 An example of a non-coherent FT 126 8.1.3 Prime implicants and implicates 126 8.1.4 Probabilistic study 128 8.2 Delay fault trees 129 8.2.1 Introduction 129 8.2.2 Treatment 129 8.3 FTs and multistate systems 131 8.3.1 Multistate systems 131 8.3.2 Structure function 132 8.3.3 Stochastic description and function of reliability 135 8.3.4 Fault trees with restrictions 136 8.3.5 Multistate fault trees 138 Chapter 9 Binary Decision Diagrams 143 9.1 Introduction 143 9.2 Reduction of the Shannon tree 143 9.2.1 Graphical representation of a BDD 143 9.2.2 Formal BDD 145 9.2.3 Probabilistic calculation 147 9.3 Probabilistic assessment of the FTs based on the BDD 148 9.4 Research about the prime implicants 151 9.5 Algorithmic complexity 153 Chapter 10 Stochastic Simulation of Fault Trees 155 10.1 Introduction 155 10.2 Generation of random variables 155 10.2.1 Generation of a uniform variable 155 10.2.2 Generation of discrete random variables 157 10.2.3 Generation of real random variables 158 10.3 Implementation and evaluation of the method 159 10.3.1 The Monte Carlo method 159 10.3.2 Estimating the probability of the top event 160 10.3.3 Precision of the estimation 161 10.3.4 Acceleration of the convergence 164 10.3.5 Rare events 165 Exercises 167 Appendices 177 A BDD Algorithms in FT Analysis 179 A1 Introduction 179 A2 Obtaining the BDD 180 A3 Algorithm of probabilistic assessment 182 A4 Importance factors 183 A5 Prime implicants 184 B European Benchmark Fault Trees 187 B1 Description of the data 187 B2 Fault tree: Europe-1 188 B2.1 Structure of the fault tree (structural data) 188 B2.2 Probabilistic data 190 B2.3 Results 190 B3 Fault tree: Europe-2 191 B3.1 Structure of the fault tree 191 B3.2 Probabilistic data 192 B3.3 Results 192 B4 Fault tree: Europe-3 193 B4.1 Structure of the FT 193 B4.2 Probabilistic data 195 B4.3 Results 195 C Some Results of Probabilities 197 Main Notations 201 Bibliography 205 Index 221

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