Probability Distributions Used in Reliability Engineering PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Probability Distributions Used in Reliability Engineering PDF full book. Access full book title Probability Distributions Used in Reliability Engineering by Andrew N O'Connor. Download full books in PDF and EPUB format.
Author: Andrew N O'Connor
Publisher: RIAC
ISBN: 1933904062
Category : Mathematics
Languages : en
Pages : 220
Get Book Here
Book Description
The book provides details on 22 probability distributions. Each distribution section provides a graphical visualization and formulas for distribution parameters, along with distribution formulas. Common statistics such as moments and percentile formulas are followed by likelihood functions and in many cases the derivation of maximum likelihood estimates. Bayesian non-informative and conjugate priors are provided followed by a discussion on the distribution characteristics and applications in reliability engineering.
Author: Andrew N O'Connor
Publisher: RIAC
ISBN: 1933904062
Category : Mathematics
Languages : en
Pages : 220
Get Book Here
Book Description
The book provides details on 22 probability distributions. Each distribution section provides a graphical visualization and formulas for distribution parameters, along with distribution formulas. Common statistics such as moments and percentile formulas are followed by likelihood functions and in many cases the derivation of maximum likelihood estimates. Bayesian non-informative and conjugate priors are provided followed by a discussion on the distribution characteristics and applications in reliability engineering.
Author: Kailash C. Kapur
Publisher: John Wiley & Sons
ISBN: 1118841794
Category : Technology & Engineering
Languages : en
Pages : 528
Get Book Here
Book Description
An Integrated Approach to Product Development Reliability Engineering presents an integrated approach to the design, engineering, and management of reliability activities throughout the life cycle of a product, including concept, research and development, design, manufacturing, assembly, sales, and service. Containing illustrative guides that include worked problems, numerical examples, homework problems, a solutions manual, and class-tested materials, it demonstrates to product development and manufacturing professionals how to distribute key reliability practices throughout an organization. The authors explain how to integrate reliability methods and techniques in the Six Sigma process and Design for Six Sigma (DFSS). They also discuss relationships between warranty and reliability, as well as legal and liability issues. Other topics covered include: Reliability engineering in the 21st Century Probability life distributions for reliability analysis Process control and process capability Failure modes, mechanisms, and effects analysis Health monitoring and prognostics Reliability tests and reliability estimation Reliability Engineering provides a comprehensive list of references on the topics covered in each chapter. It is an invaluable resource for those interested in gaining fundamental knowledge of the practical aspects of reliability in design, manufacturing, and testing. In addition, it is useful for implementation and management of reliability programs.
Author: Unnikrishnan Nair
Publisher: Academic Press
ISBN: 0128020067
Category : Mathematics
Languages : en
Pages : 510
Get Book Here
Book Description
Reliability Modelling and Analysis in Discrete Time provides an overview of the probabilistic and statistical aspects connected with discrete reliability systems. This engaging book discusses their distributional properties and dependence structures before exploring various orderings associated between different reliability structures. Though clear explanations, multiple examples, and exhaustive coverage of the basic and advanced topics of research in this area, the work gives the reader a thorough understanding of the theory and concepts associated with discrete models and reliability structures. A comprehensive bibliography assists readers who are interested in further research and understanding. Requiring only an introductory understanding of statistics, this book offers valuable insight and coverage for students and researchers in Probability and Statistics, Electrical Engineering, and Reliability/Quality Engineering. The book also includes a comprehensive bibliography to assist readers seeking to delve deeper. - Includes a valuable introduction to Reliability Theory before covering advanced topics of research and real world applications - Features an emphasis on the mathematical theory of reliability modeling - Provides many illustrative examples to foster reader understanding
Author: Marvin L. Roush
Publisher: RIAC
ISBN: 0965266982
Category : Reliability (Engineering)
Languages : en
Pages : 627
Get Book Here
Book Description
Author: Vijay P. Singh
Publisher: Amer Society of Civil Engineers
ISBN: 9780784408919
Category : Technology & Engineering
Languages : en
Pages : 785
Get Book Here
Book Description
Singh, Jain, and Tyagi present the key concepts of risk and reliability that apply to a wide array of problems in civil and environmental engineering.
Author: Roy Billinton
Publisher: Springer Science & Business Media
ISBN: 1489906851
Category : Technology & Engineering
Languages : en
Pages : 469
Get Book Here
Book Description
In response to new developments in the field, practical teaching experience, and readers' suggestions, the authors of the warmly received Reliablity Evaluation of Engineering Systems have updated and extended the work-providing extended coverage of fault trees and a more complete examination of probability distribution, among other things-without disturbing the original's concept, structure, or style.
Author: Bilal M. Ayyub
Publisher: CRC Press
ISBN: 1439895333
Category : Business & Economics
Languages : en
Pages : 657
Get Book Here
Book Description
In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world p
Author: Yan Liu
Publisher: John Wiley & Sons
ISBN: 1119287987
Category : Technology & Engineering
Languages : en
Pages : 284
Get Book Here
Book Description
Demonstrates how to solve reliability problems using practical applications of Bayesian models This self-contained reference provides fundamental knowledge of Bayesian reliability and utilizes numerous examples to show how Bayesian models can solve real life reliability problems. It teaches engineers and scientists exactly what Bayesian analysis is, what its benefits are, and how they can apply the methods to solve their own problems. To help readers get started quickly, the book presents many Bayesian models that use JAGS and which require fewer than 10 lines of command. It also offers a number of short R scripts consisting of simple functions to help them become familiar with R coding. Practical Applications of Bayesian Reliability starts by introducing basic concepts of reliability engineering, including random variables, discrete and continuous probability distributions, hazard function, and censored data. Basic concepts of Bayesian statistics, models, reasons, and theory are presented in the following chapter. Coverage of Bayesian computation, Metropolis-Hastings algorithm, and Gibbs Sampling comes next. The book then goes on to teach the concepts of design capability and design for reliability; introduce Bayesian models for estimating system reliability; discuss Bayesian Hierarchical Models and their applications; present linear and logistic regression models in Bayesian Perspective; and more. Provides a step-by-step approach for developing advanced reliability models to solve complex problems, and does not require in-depth understanding of statistical methodology Educates managers on the potential of Bayesian reliability models and associated impact Introduces commonly used predictive reliability models and advanced Bayesian models based on real life applications Includes practical guidelines to construct Bayesian reliability models along with computer codes for all of the case studies JAGS and R codes are provided on an accompanying website to enable practitioners to easily copy them and tailor them to their own applications Practical Applications of Bayesian Reliability is a helpful book for industry practitioners such as reliability engineers, mechanical engineers, electrical engineers, product engineers, system engineers, and materials scientists whose work includes predicting design or product performance.
Author: William Denson
Publisher: RIAC
ISBN: 1933904178
Category : Technology & Engineering
Languages : en
Pages : 432
Get Book Here
Book Description
The intent of this book is to provide guidance on modeling techniques that can be used to quantify the reliability of a product or system. In this context, reliability modeling is the process of constructing a mathematical model that is used to estimate the reliability characteristics of a product. There are many ways in which this can be accomplished, depending on the product or system and the type of information that is available, or practical to obtain. This book reviews possible approaches, summarizes their advantages and disadvantages, and provides guidance on selecting a methodology based on the specific goals and constraints of the analyst. While this book will not discuss the use of specific published methodologies, in cases where examples are provided, tools and methodologies with which the author has personal experience in their development are used, such as life modeling, NPRD, MIL-HDBK-217 and the RIAC 217Plus--Introduction.
Author: Seongwoo Woo
Publisher: Springer
ISBN: 9811372365
Category : Technology & Engineering
Languages : en
Pages : 476
Get Book Here
Book Description
The revised edition of this book offers an expanded overview of the reliability design of mechanical systems and describes the reliability methodology, including a parametric accelerated life test (ALT) plan, a load analysis, a tailored series of parametric ALTs with action plans, and an evaluation of the final designs to ensure the design requirements are satisfied. It covers both the quantitative and qualitative approaches of the reliability design forming in the development process of mechanical products, with a focus on parametric ALT and illustrated via case studies. This new reliability methodology – parametric ALT should help mechanical and civil engineers to uncover design parameters improving product design and avoiding recalls. Updated chapters cover product recalls and assessment of their significance, modern definitions in reliability engineering, parametric accelerated life testing in mechanical systems, and extended case studies. For this revised edition, one new chapter has been introduced to reflect recent developments in analysis of fluid motion and mechanical vibration. Other chapters are expanded and updated to improve the explanation of topics including structures and load analysis, failure mechanics, design and reliability testing, and mechanical system failure. The broad scope gives the reader an overview of the state-of-the-art in the reliability design of mechanical systems and an indication of future directions and applications. It will serve as a solid introduction to the field for advanced students, and a valuable reference for those working in the development of mechanical systems and related areas.
