Reliability Verification, Testing, and Analysis in Engineering Design

1. Auflage 2002
ISBN: 978-0-8247-0475-9
Verlag: Taylor & Francis Inc

Buch, Englisch, 412 Seiten, Format (B × H): 161 mm x 237 mm, Gewicht: 717 g

Striking a balance between the use of computer-aided engineering practices and classical life testing, this reference expounds on current theory and methods for designing reliability tests and analyzing resultant data through various examples using Microsoft® Excel, MINITAB, WinSMITH, and ReliaSoft software across multiple industries. The book discusses modern design reliability principles, techniques, and terms, applications of Microsoft® Excel Tool Solver and Goal Seek nonlinear search procedures for developing Fisher matrices and likelihood ratio confidence intervals, and table generation on median ranks, beta-binomial bounds, and standard percents.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Wasserman, Gary

Fachgebiete

• Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Zuverlässigkeitstechnik
• Geisteswissenschaften Design Produktdesign, Industriedesign
• Technische Wissenschaften Technik Allgemein Technik: Allgemeines

Inhaltsverzeichnis

Preface, 1. A Modern View of Reliability Concepts and Design for Reliability, 2. Preliminaries, Definitions, and Use of Order Statistics in Reliability Estimation, 3. A Survey of Distributions Used in Reliability Estimation, 4. Overview of Estimation Techniques, 5. Distribution Fitting, 6. Test Sample-Size Determination, 7. Accelerated Testing, 8. Engineering Approaches to Design Verification, 9. Likelihood Estimation (Advanced), 10. Comparing Designs, References, Index

Über Autor(innen)

Gary S. Wasserman is an Associate Professor in the Department of Industrial and Manufacturing Engineering, Wayne State University, Detroit, Michigan. The author or coauthor of several journal articles, book chapters and books, he is a Fellow of the American Society for Quality and Chair of its Reliability Division. He received the B.S. degree (1973) in biomedical engineering from Rensselaer Polytechnic Institute, Troy, New York, the M.S. degree (1975) in chemical engineering from the Massachusetts Institute of Technology, Cambridge, the M.S. degree (1982) in operations research and statistics from the University of Miami, Florida, and the M.S. (1984) and Ph.D. (1986) degrees in information and computer science and industrial and systems engineering, respectively, from the Georgia Institute of Technology. Atlanta.