Accelerated Life Testing of One-shot Devices: Data Collection and Analysis - Hardcover

Balakrishnan, Narayanaswamy; Ling, Man Ho; So, Hon Yiu

 
9781119664000: Accelerated Life Testing of One-shot Devices: Data Collection and Analysis
Hardcover
ISBN 10: 1119664004 ISBN 13: 9781119664000
Publisher: Wiley, 2021

Synopsis

Provides authoritative guidance on statistical analysis techniques and inferential methods for one-shot device life-testing

Estimating the reliability of one-shot devices―electro-expolsive devices, fire extinguishers, automobile airbags, and other units that perform their function only once―poses unique analytical challenges to conventional approaches. Due to how one-shot devices are censored, their precise failure times cannot be obtained from testing. The condition of a one-shot device can only be recorded at a specific inspection time, resulting in a lack of lifetime data collected in life-tests.

Accelerated Life Testing of One-shot Devices: Data Collection and Analysis addresses the fundamental issues of statistical modeling based on data collected from accelerated life-tests of one-shot devices. The authors provide inferential methods and procedures for planning accelerated life-tests, and describe advanced statistical techniques to help reliability practitioners overcome estimation problems in the real world. Topics covered include likelihood inference, competing-risks models, one-shot devices with dependent components, model selection, and more. Enabling readers to apply the techniques to their own lifetime data and arrive at the most accurate inference possible, this practical resource:

  • Provides expert guidance on comprehensive data analysis of one-shot devices under accelerated life-tests
  • Discusses how to design experiments for data collection from efficient accelerated life-tests while conforming to budget constraints
  • Helps readers develops optimal designs for constant-stress and step-stress accelerated life-tests, mainstream life-tests commonly used in reliability practice
  • Includes R code in each chapter for readers to use in their own analyses of one-shot device testing data
  • Features numerous case studies and practical examples throughout
  • Highlights important issues, problems, and future research directions in reliability theory and practice
Accelerated Life Testing of One-shot Devices: Data Collection and Analysis is essential reading for graduate students, researchers, and engineers working on accelerated life testing data analysis.

"synopsis" may belong to another edition of this title.

About the Author

NARAYANASWAMY BALAKRISHNAN, PhD, is Distinguished University Professor, Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.

MAN HO LING, PhD, is Associate Professor, Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong SAR, China.

HON YIU SO is Post-Doctoral Fellow, University of Waterloo, Waterloo, Ontario, Canada.

From the Back Cover

PROVIDES AUTHORITATIVE GUIDANCE ON STATISTICAL ANALYSIS TECHNIQUES AND INFERENTIAL METHODS FOR ONE-SHOT DEVICE LIFE-TESTING

Estimating the reliability of one-shot devices―electro-explosive devices, fire extinguishers, automobile airbags, and other units that perform their function only once―poses unique analytical challenges to conventional approaches. Due to the nature of data collection, the precise failure times of devices cannot be obtained from tests. The condition of a one-shot device can only be recorded at a specific inspection time, resulting in a lack of lifetime data collected from tests.

Accelerated Life Testing of One-Shot Devices: Data Collection and Analysis addresses the fundamental issues of statistical modeling based on data collected from accelerated life-tests of one-shot devices. The authors provide inferential methods and procedures for planning accelerated life-tests, and describe advanced statistical techniques to help reliability practitioners overcome estimation problems in the real world. Topics covered include likelihood inference, competing-risks models, one-shot devices with dependent components, model selection, and more. Enabling readers to apply the techniques to their own lifetime data and arrive at the most accurate inference possible, this practical resource:

  • Provides expert guidance on comprehensive data analysis of one-shot devices under accelerated life-tests
  • Discusses how to design experiments for data collection from efficient accelerated life-tests while conforming to budget constraints
  • Helps readers develop optimal designs for constant-stress and step-stress accelerated life-tests, mainstream life-tests commonly used in reliability practice
  • Includes R code in each chapter for readers to use in their own analyses of one-shot device testing data
  • Features numerous case studies and practical examples throughout
  • Highlights important issues, problems, and future research directions in reliability theory and practice

    • Accelerated Life Testing of One-Shot Devices is essential reading for graduate students, researchers, and engineers working on accelerated life testing data analysis.

    From the Inside Flap

    PROVIDES AUTHORITATIVE GUIDANCE ON STATISTICAL ANALYSIS TECHNIQUES AND INFERENTIAL METHODS FOR ONE-SHOT DEVICE LIFE-TESTING

    Estimating the reliability of one-shot devices—electro-explosive devices, fire extinguishers, automobile airbags, and other units that perform their function only once—poses unique analytical challenges to conventional approaches. Due to the nature of data collection, the precise failure times of devices cannot be obtained from tests. The condition of a one-shot device can only be recorded at a specific inspection time, resulting in a lack of lifetime data collected from tests.

    Accelerated Life Testing of One-Shot Devices: Data Collection and Analysis addresses the fundamental issues of statistical modeling based on data collected from accelerated life-tests of one-shot devices. The authors provide inferential methods and procedures for planning accelerated life-tests, and describe advanced statistical techniques to help reliability practitioners overcome estimation problems in the real world. Topics covered include likelihood inference, competing-risks models, one-shot devices with dependent components, model selection, and more. Enabling readers to apply the techniques to their own lifetime data and arrive at the most accurate inference possible, this practical resource:

  • Provides expert guidance on comprehensive data analysis of one-shot devices under accelerated life-tests
  • Discusses how to design experiments for data collection from efficient accelerated life-tests while conforming to budget constraints
  • Helps readers develop optimal designs for constant-stress and step-stress accelerated life-tests, mainstream life-tests commonly used in reliability practice
  • Includes R code in each chapter for readers to use in their own analyses of one-shot device testing data
  • Features numerous case studies and practical examples throughout
  • Highlights important issues, problems, and future research directions in reliability theory and practice

    • Accelerated Life Testing of One-Shot Devices is essential reading for graduate students, researchers, and engineers working on accelerated life testing data analysis.

    "About this title" may belong to another edition of this title.

    Publisher
    Wiley
    Publication date
    2021
    Language
    English
    ISBN 10 
    1119664004
    ISBN 13 
    9781119664000
    Binding
    Hardcover
    Edition number
    1
    Number of pages
    240