Items related to Practical Reliability Analysis

Practical Reliability Analysis - Hardcover

Neubeck, Ken

 
9780130420206: Practical Reliability Analysis

Synopsis

For undergraduate courses in Quality Control, Reliability Engineering, and Mechanical Design.

Containing real-life examples from the author's professional career experiences, this book offers students useful insights and practical analysis of reliability engineering concepts and design problems. It demonstrates both qualitative and quantitative analysis by these illustrative examples and case studies―both during early design stages and during investigation.

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About the Author

Ken Neubeck has accrued over two decades of reliability engineering experience in the aerospace and commercial fields. After obtaining his B.S. and M.S. degrees in applied math from SUNY at Stony Brook, he started employment with the Fairchild Republic Company and worked on the A-10 Close Air Support Aircraft program as a reliability engineer for over twelve years. After the company closed in 1987, he continued as a reliability engineer for electronics companies and other commercial businesses. Ken has written books on the A-10 and F-105 aircraft as well as on amateur radio topics where he holds the call sign WB2AMU. He continues to conduct extensive research in the area of radio propagation.

From the Back Cover

Authored by a practicing reliability engineer with over 25 years of experience, this book provides useful insights and a practical analysis that can be used to deal with reliability problems in designs. Practical Reliability Analysis makes use of both case studies and illustrative examples to teach readers through the use of practical applications.

Features include:
  • Case studies―provide practical applications of problem-solving techniques
  • Mathematical analysis―demonstrates useful applications of statistical analysis in reliability problems
  • Pictorial description of mechanical reliability―demonstrates common mechanical failures of electrical components
  • Confidence limits―uses graphical examples to make this difficult subject clear

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