design of experiments for reliability achievement pdf

Design of Experiments for Reliability Achievement

• Engineering, Ira A. Fulton Schools of (IAFSE)

Research output : Book/Report › Book

This book illustrates how experimental design and life testing can be used to understand product reliability in order to enable reliability improvements. The book is divided into four sections. The first section focuses on statistical distributions and methods for modeling reliability data. The second section provides an overview of design of experiments including response surface methodology and optimal designs. The third section describes regression models for reliability analysis focused on lifetime data. This section provides the methods for how data collected in a designed experiment can be properly analyzed. The final section of the book pulls together all of the prior sections with customized experiments that are uniquely suited for reliability testing. Throughout the text, there is a focus on reliability applications and methods. It addresses both optimal and robust design with censored data. To aid in reader comprehension, examples and case studies are included throughout the text to illustrate the key factors in designing experiments and emphasize how experiments involving life testing are inherently different. The book provides numerous state-of-the-art exercises and solutions to help readers better understand the real-world applications of experimental design and reliability. The authors utilize R and JMP software throughout as appropriate, and a supplemental website contains the related data sets. Written by internationally known experts in the fields of experimental design methodology and reliability data analysis, sample topics covered in the book include: An introduction to reliability, lifetime distributions, censoring, and inference for parameter of lifetime distributions Design of experiments, optimal design, and robust design Lifetime regression, parametric regression models, and the Cox Proportional Hazard Model Design strategies for reliability achievement Accelerated testing, models for acceleration, and design of experiments for accelerated testing The text features an accessible approach to reliability for readers with various levels of technical expertise. This book is a key reference for statistical researchers, reliability engineers, quality engineers, and professionals in applied statistics and engineering. It is a comprehensive textbook for upper-undergraduate and graduate-level courses in statistics and engineering.

ASJC Scopus subject areas

• General Engineering

Access to Document

• 10.1002/9781119237754

Other files and links

• Link to publication in Scopus

Fingerprint

• Design of Experiments Keyphrases 100%
• Accelerated Testing Keyphrases 50%
• Robust Design Keyphrases 50%
• Reliability Analysis Keyphrases 50%
• Life Test Keyphrases 50%
• Lifetime Distribution Keyphrases 50%
• Optimal Design Engineering 42%
• Engineering Engineering 28%

T1 - Design of Experiments for Reliability Achievement

AU - Rigdon, Steven E.

AU - Pan, Rong

AU - Montgomery, Douglas C.

AU - Freeman, Laura J.

N1 - Publisher Copyright: © 2022 John Wiley & Sons, Inc. All rights reserved.

PY - 2022/1/1

Y1 - 2022/1/1

N2 - This book illustrates how experimental design and life testing can be used to understand product reliability in order to enable reliability improvements. The book is divided into four sections. The first section focuses on statistical distributions and methods for modeling reliability data. The second section provides an overview of design of experiments including response surface methodology and optimal designs. The third section describes regression models for reliability analysis focused on lifetime data. This section provides the methods for how data collected in a designed experiment can be properly analyzed. The final section of the book pulls together all of the prior sections with customized experiments that are uniquely suited for reliability testing. Throughout the text, there is a focus on reliability applications and methods. It addresses both optimal and robust design with censored data. To aid in reader comprehension, examples and case studies are included throughout the text to illustrate the key factors in designing experiments and emphasize how experiments involving life testing are inherently different. The book provides numerous state-of-the-art exercises and solutions to help readers better understand the real-world applications of experimental design and reliability. The authors utilize R and JMP software throughout as appropriate, and a supplemental website contains the related data sets. Written by internationally known experts in the fields of experimental design methodology and reliability data analysis, sample topics covered in the book include: An introduction to reliability, lifetime distributions, censoring, and inference for parameter of lifetime distributions Design of experiments, optimal design, and robust design Lifetime regression, parametric regression models, and the Cox Proportional Hazard Model Design strategies for reliability achievement Accelerated testing, models for acceleration, and design of experiments for accelerated testing The text features an accessible approach to reliability for readers with various levels of technical expertise. This book is a key reference for statistical researchers, reliability engineers, quality engineers, and professionals in applied statistics and engineering. It is a comprehensive textbook for upper-undergraduate and graduate-level courses in statistics and engineering.

AB - This book illustrates how experimental design and life testing can be used to understand product reliability in order to enable reliability improvements. The book is divided into four sections. The first section focuses on statistical distributions and methods for modeling reliability data. The second section provides an overview of design of experiments including response surface methodology and optimal designs. The third section describes regression models for reliability analysis focused on lifetime data. This section provides the methods for how data collected in a designed experiment can be properly analyzed. The final section of the book pulls together all of the prior sections with customized experiments that are uniquely suited for reliability testing. Throughout the text, there is a focus on reliability applications and methods. It addresses both optimal and robust design with censored data. To aid in reader comprehension, examples and case studies are included throughout the text to illustrate the key factors in designing experiments and emphasize how experiments involving life testing are inherently different. The book provides numerous state-of-the-art exercises and solutions to help readers better understand the real-world applications of experimental design and reliability. The authors utilize R and JMP software throughout as appropriate, and a supplemental website contains the related data sets. Written by internationally known experts in the fields of experimental design methodology and reliability data analysis, sample topics covered in the book include: An introduction to reliability, lifetime distributions, censoring, and inference for parameter of lifetime distributions Design of experiments, optimal design, and robust design Lifetime regression, parametric regression models, and the Cox Proportional Hazard Model Design strategies for reliability achievement Accelerated testing, models for acceleration, and design of experiments for accelerated testing The text features an accessible approach to reliability for readers with various levels of technical expertise. This book is a key reference for statistical researchers, reliability engineers, quality engineers, and professionals in applied statistics and engineering. It is a comprehensive textbook for upper-undergraduate and graduate-level courses in statistics and engineering.

UR - http://www.scopus.com/inward/record.url?scp=85141436798&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85141436798&partnerID=8YFLogxK

U2 - 10.1002/9781119237754

DO - 10.1002/9781119237754

AN - SCOPUS:85141436798

SN - 9781119237693

BT - Design of Experiments for Reliability Achievement

Archives d'Anna

🚀 Téléchargements rapides

Il vous en reste XXXXXX aujourd'hui. Merci d'être un membre ! ❤️

Vous avez épuisé votre quantité de téléchargements rapides pour aujourd'hui.

Vous avez téléchargé ce fichier récemment. Les liens restent valides pendant un moment.

• Option #1 : Serveur Partenaire Rapide #1 (%(recommended)s) (pas de redirection) (pas de vérification du navigateur ou de listes d'attente)
• Option #2 : Serveur Partenaire Rapide #2 (pas de redirection)
• Option #3 : Serveur Partenaire Rapide #3 (pas de redirection)
• Option #4 : Serveur Partenaire Rapide #4 (pas de redirection)
• Parrainez un ami, et bénéficiez tous les deux de 50% de téléchargements rapides en plus ! En savoir plus…

🐢 Téléchargements lents

Depuis nos partenaires de confiance. Plus d'informations dans la FAQ . (peut nécessiter une vérification du navigateur — téléchargements illimités !)

• Option #1 : Serveur Partenaire lent #1 (légèrement plus rapide, mais avec une liste d'attente)
• Option #2 : Serveur Partenaire lent #2 (légèrement plus rapide, mais avec une liste d'attente)
• Option #3 : Serveur Partenaire lent #3 (pas de liste d'attente, mais peut être très lent)

Téléchargements externes

• Option #1 : Libgen.rs Non-Fiction (cliquez sur "GET" en haut de la page)
• Option #2 : Libgen.li (cliquez ensuite sur "GET" en haut de la page) leurs publicités sont connues pour contenir des logiciels malveillants, utilisez donc un bloqueur de publicités ou ne cliquez pas dessus
• Option #3 : Nexus/STC (Les fichiers Nexus/STC peuvent avoir un téléchargement instable)
• Option #4 : IPFS
• Option #5 : Z-Library
• Option #6 : Z-Library avec TOR (nécessite le Navigateur TOR)
• Option #7 : Sci-Hub : 10.1002/9781119237754 (le DOI associé peut ne pas être disponible dans Sci-Hub)
• Option #8 : Téléchargements torrent en masse (spécialistes uniquement) collection “libgen_rs_non_fic” → torrent “r_3581000.torrent” → file “84a82cf641f8bd3e198920bd25b9234b”
• Pour les fichiers volumineux, nous recommandons d'utiliser un gestionnaire de téléchargement pour éviter les interruptions. Gestionnaires de téléchargement recommandés : JDownloader
• Vous aurez besoin d'un lecteur d'ebook ou de PDF pour ouvrir le fichier, selon le format du fichier. Lecteurs d'ebook recommandés : ReadEra et Calibre
• Utilisez des outils en ligne pour convertir entre les formats. Outils de conversion recommandés : CloudConvert
• Vous pouvez envoyer des fichiers PDF et EPUB à votre Kindle ou Kobo eReader. Outils recommandés : La fonction « Envoyer vers Kindle » d'Amazon et La fonction « Envoyer vers Kobo/Kindle » de djazz
• Soutenez les auteurs et les bibliothèques ✍️ Si vous aimez cela et que vous en avez les moyens, envisagez d'acheter l'original ou de soutenir directement les auteurs. 📚 Si cela est disponible dans votre bibliothèque locale, envisagez de l'emprunter gratuitement là-bas.

📂 Qualité du fichier

Aidez la communauté en signalant la qualité de ce fichier ! 🙌

Quel est le problème de ce fichier ?

Veuillez utiliser le formulaire de réclamation DMCA / Droits d'auteur .

Décrire le problème (obligatoire)

MD5 d'une meilleure version de ce fichier (si applicable). Remplissez ceci s'il existe un autre fichier qui correspond étroitement à ce fichier (même édition, même extension de fichier si vous pouvez en trouver un), que les gens devraient utiliser à la place de ce fichier. Si vous connaissez une meilleure version de ce fichier en dehors de l’Archive d’Anna, veuillez la téléverser .

Vous pouvez obtenir le md5 à partir de l'URL, par exemple https://annas-archive.li/md5/ 84a82cf641f8bd3e198920bd25b9234b

Si ce fichier est de grande qualité, vous pouvez en discuter ici ! Sinon, veuillez utiliser le bouton « Signaler un problème de fichier ».

Le texte continue ci-dessous en anglais.

Nombre total de téléchargements :

Un « fichier MD5 » est un hash calculé à partir du contenu du fichier, et est unique en fonction de ce contenu. Toutes les bibliothèques fantômes que nous avons indexées ici utilisent principalement les MD5 pour identifier les fichiers.

Un fichier peut apparaître dans plusieurs bibliothèques fantômes. Pour des informations sur les différents datasets que nous avons compilés, consultez la page des Datasets .

Pour plus d'informations sur ce fichier en particulier, consultez son fichier JSON .

Design of Experiments for Reliability Achievement (E-Book, PDF)

Design of Experiments for Reliability Achievement

Ebook - wiley series in probability and statistics.

Herunterladen

Bibliographische Informationen

Beschreibung, autorenportrait.

Steven E. Rigdon, PhD, is Professor in the Department of Biostatistics at Saint Louis University. He is also Distinguished Research Professor Emeritus at Southern Illinois University Edwardsville. His research interests include spatial disease surveillance and reliability assessment.

Preface xiii

About the Companion Website xv

Part I Reliability 1

1 Reliability Concepts 3

1.1 Definitions of Reliability 3

1.2 Concepts for Lifetimes 4

1.3 Censoring 10

Problems 14

2 Lifetime Distributions 17

2.1 The Exponential Distribution 17

2.2 The Weibull Distribution 22

2.3 The Gamma Distribution 25

2.4 The Lognormal Distribution 28

2.5 Log Location and Scale Distributions 30

2.5.1 The Smallest Extreme Value Distribution 31

2.5.2 The Logistic and Log-Logistic Distributions 33

Problems 35

3 Inference for Parameters of Life Distributions 39

3.1 Nonparametric Estimation of the Survival Function 39

3.1.1 Confidence Bounds for the Survival Function 42

3.1.2 Estimating the Hazard Function 44

3.2 Maximum Likelihood Estimation 46

3.2.1 Censoring Contributions to Likelihoods 46

3.3 Inference for the Exponential Distribution 50

3.3.1 Type II Censoring 50

3.3.2 Type I Censoring 54

3.3.3 Arbitrary Censoring 55

3.3.4 Large Sample Approximations 56

3.4 Inference for the Weibull 58

3.5 The SEV Distribution 59

3.6 Inference for Other Models 60

3.6.1 Inference for the GAM(, ) Distribution 61

3.6.2 Inference for the Log Normal Distribution 61

3.6.3 Inference for the GGAM(, , ) Distribution 62

3.7 Bayesian Inference 67

3.a KaplanMeier Estimate of the Survival Function 80

3.a.1 The MetropolisHastings Algorithm 82

Problems 83

Part II Design of Experiments 89

4 Fundamentals of Experimental Design 91

4.1 Introduction to Experimental Design 91

4.2 A Brief History of Experimental Design 93

4.3 Guidelines for Designing Experiments 95

4.4 Introduction to Factorial Experiments 101

4.4.1 An Example 103

4.4.2 The Analysis of Variance for a Two-Factor Factorial 105

4.5 The 2k Factorial Design 114

4.5.1 The 22 Factorial Design 115

4.5.2 The 23 Factorial Design 119

4.5.3 A Singe Replicate of the 2k Design 124

4.5.4 2k Designs are Optimal Designs 129

4.5.5 Adding Center Runs to a 2k Design 133

4.6 Fractional Factorial Designs 135

4.6.1 A General Method for Finding the Alias Relationships in Fractional Factorial Designs 142

4.6.2 De-aliasing Effects 145

Problems 147

5 Further Principles of Experimental Design 157

5.1 Introduction 157

5.2 Response Surface Methods and Designs 157

5.3 Optimization Techniques in Response Surface Methodology 160

5.4 Designs for Fitting Response Surfaces 165

5.4.1 Classical Response Surface Designs 165

5.4.2 Definitive Screening Designs 171

5.4.3 Optimal Designs in RSM 175

Problems 176

Part III Regression Models for Reliability Studies 185

6 Parametric Regression Models 187

6.1 Introduction to Failure-Time Regression 187

6.2 Regression Models with Transformations 188

6.2.1 Estimation and Confidence Intervals for Transformed Data 189

6.3 Generalized Linear Models 198

6.4 Incorporating Censoring in Regression Models 205

6.4.1 Parameter Estimation for Location Scale and Log-Location Scale Models 205

6.4.2 Maximum Likelihood Method for Log-Location Scale Distributions 206

6.4.3 Inference for Location Scale and Log-Location Scale Models 207

6.4.4 Location Scale and Log-Location Scale Regression Models 208

6.5 Weibull Regression 208

6.6 Nonconstant Shape Parameter 228

6.7 Exponential Regression 233

6.8 The Scale-Accelerated Failure-Time Model 234

6.9 Checking Model Assumptions 236

6.9.1 Residual Analysis 237

6.9.2 Distribution Selection 243

Problems 245

7 Semi-parametric Regression Models 249

7.1 The Proportional Hazards Model 249

7.2 The Cox Proportional Hazards Model 251

7.3 Inference for the Cox Proportional Hazards Model 255

7.4 Checking Assumptions for the Cox PH Model 264

Problems 265

Part IV Experimental Design for Reliability Studies 269

8 Design of Single-Testing-Condition Reliability Experiments 271

8.1 Life Testing 272

8.1.1 Life Test Planning with Exponential Distribution 273

8.1.1.1 Type II Censoring 273

8.1.1.2 Type I Censoring 274

8.1.1.3 Large Sample Approximation 275

8.1.1.4 Planning Tests to Demonstrate a Lifetime Percentile 276

8.1.1.5 Zero Failures 279

8.1.2 Life Test Planning for Other Lifetime Distributions 281

8.1.3 Operating Characteristic Curves 282

8.2 Accelerated Life Testing 286

8.2.1 Acceleration Factor 287

8.2.2 Physical Acceleration Models 288

8.2.2.1 Arrhenius Model 288

8.2.2.2 Eyring Model 289

8.2.2.3 Peck Model 290

8.2.2.4 Inverse Power Model 290

8.2.2.5 CoffinManson Model 290

8.2.3 Relationship Between Physical Acceleration Models and Statistical Models 291

8.2.4 Planning Single-Stress-Level ALTs 292

Problems 294

9 Design of Multi-Factor and Multi-Level Reliability Experiments 297

9.1 Implications of Design for Reliability 298

9.2 Statistical Acceleration Models 299

9.2.1 Lifetime Regression Model 299

9.2.2 Proportional Hazards Model 303

9.2.3 Generalized Linear Model 306

9.2.4 Converting PH Model with Right Censoring to GLM 309

9.3 Planning ALTs with Multiple Stress Factors at Multiple Stress Levels 311

9.3.1 Optimal Test Plans 313

9.3.2 Locality of Optimal ALT Plans 318

9.3.3 Comparing Optimal ALT Plans 319

9.4 Bayesian Design for GLM 322

9.5 Reliability Experiments with Design and Manufacturing Process Variables 326

Problems 336

A The Survival Package in R 339

B Design of Experiments using JMP 351

C The Expected Fisher Information Matrix 357

C.1 Lognormal Distribution 359

C.2 Weibull Distribution 359

C.3 Lognormal Distribution 361

C.4 Weibull Distribution 362

D Data Sets 363

E Distributions Used in Life Testing 375

Bibliography 381

E-Book Informationen

„eBooks“ sind digitale Bücher. Um eBooks lesen zu können, wird entweder eine spezielle Software für Computer, Tablets und Smartphones oder ein eBook-Reader benötigt. Da es eBooks in unterschieldichen Formaten gibt, gilt es, folgendes zu beachten. Von uns werden digitale Bücher in drei Formaten ausgeliefert. Die Formate sind EPUB mit DRM (Digital Rights Management), EPUB ohne DRM und PDF. Bei den Formaten PDF und EPUB ohne DRM müssen Sie lediglich prüfen, ob Ihr eBook-Reader kompatibel ist. Wenn ein Format mit DRM genutzt wird, besteht zusätzlich die Notwendigkeit, dass Sie einen kostenlosen Adobe® Digital Editions Account besitzen. Wenn Sie ein eBook, das Adobe® Digital Editions benötigt, herunterladen, erhalten Sie eine ASCM-Datei, die zu Digital Editions hinzugefügt und mit Ihrem Account verknüpft werden muss. Einige eBook-Reader (zum Beispiel PocketBook Touch) unterstützen auch das direkte Eingeben der Login-Daten des Adobe Accounts – somit können diese ASCM-Dateien direkt auf das betreffende Gerät kopiert werden. Da eBooks nur für eine begrenzte Zeit – in der Regel 6 Monate – herunterladbar sind, sollten Sie stets eine Sicherheitskopie auf einem Dauerspeicher (Festplatte, USB-Stick oder CD) anlegen. Außerdem ist die Anzahl der Downloads auf maximal 5 begrenzt.

Design of Experiments for Reliability Achievement

By steven e. rigdon and rong pan.

• 1 Want to read

My Reading Lists:

Use this Work

Create a new list

My book notes.

My private notes about this edition:

Check nearby libraries

• Library.link

Buy this book

This edition doesn't have a description yet. Can you add one ?

Add another edition?

Book Details

The physical object, source records, community reviews (0).

• Created October 5, 2021
• 2 revisions

Wikipedia citation

Copy and paste this code into your Wikipedia page. Need help?