2 edition of **Reliability: a mathematical approach** found in the catalog.

Reliability: a mathematical approach

Arnold Kaufmann

- 187 Want to read
- 25 Currently reading

Published
**1972** by Transworld in London .

Written in English

- Reliability (Engineering)

**Edition Notes**

Statement | [by] A. Kaufmann; translated [from the French] by Alexander Graham. |

Series | Transworld student library, 10 |

Classifications | |
---|---|

LC Classifications | TS173 .K3713 |

The Physical Object | |

Pagination | 95 p. |

Number of Pages | 95 |

ID Numbers | |

Open Library | OL5456870M |

ISBN 10 | 0552400092 |

LC Control Number | 73159184 |

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More importantly, it includes a appropriate business approach to reliability engineering. Wiley Series in Probability and Mathematical Statistics. New York: John Wiley & Sons, Not exactly a textbook on reliability engineering, yet a book about how product design failures occur.

We work closely with designers, and this book Author: Fred Schenkelberg. Based on mathematical statistics, the book also explains formulation of some selected results. It presents a method that increases the reliability of manufactured articles—redundancy. An important part of product quality control is the standards of acceptance-sampling plans which require simplicity, wide content for flexibility, comprehensive.

Reliability: a mathematical approach [A. Kaufmann] on *FREE* shipping on qualifying : A. Kaufmann. ISBN: OCLC Number: Notes: Translation of La Confiance technique. Description: 95 pages illustrations 18 cm: Series Title.

Robot System Reliability and Safety: A Modern Approach presents up-to-date information on robot reliability, safety, and related areas in a single volume, eliminating the need to consult diverse sources.

After introducing historical, mathematical, and introductory aspects, Reliability: a mathematical approach book book presents methods for analyzing robot system reliability and by: 4. A broad range of mathematical methods, chief among which are probability theory and mathematical statistics, are used in reliability theory.

This is because the events represented by the qualitative and quantitative reliability indices (failure, time before failure, repair time, renewal cost, etc.) are random.

Reliability is an essential concept in mathematics, computing, research, and all disciplines of engineering, and reliability as a characteristic is, in fact, a probability.

Therefore, in this book, the author uses the statistical approach to reliability modelling along with the MINITAB software package to provide a comprehensive treatment of. The reliability theory of aging is an attempt to apply the principles of reliability theory to create a mathematical model of theory was published in Russian by Leonid A.

Gavrilov and Natalia S. Gavrilova as Biologiia prodolzhitelʹnosti zhizni inand in English translation as The Biology of Life Span: A Quantitative Approach in Reliability engineering is a sub-discipline of systems engineering that emphasizes dependability in the lifecycle management of a ility describes the ability of a system or component to function under stated conditions for a specified period of time.

Reliability is closely related to availability, which is typically described as the ability of a component or system to function at. Safety and Reliability in the Oil and Gas Industry: A Practical Approach covers important aspects of safety in the offshore oil and gas industry.

A reference designed with engineering professionals in mind, this book can also be used in oil- and gas-industry-related courses, and serves as a guide for anyone concerned with safety and reliability.

Based on mathematical statistics, the book also explains formulation of some selected results. It presents a method that increases the reliability of manufactured articles—redundancy.

An important part of product quality control is the standards of acceptance-sampling plans which require simplicity, wide content for flexibility, comprehensive Book Edition: 1. Reliability theory is a mathematical framework for the analysis of uncertainty and risk in engineering.

It is used in practical performance-based engineering, PBE (Ellingwood, ). Unfortunately, reliability theory is partial, since it covers only the same uncertainties as simple safety factors – albeit more coherently and rigorously.

This book discusses the probability distributions used in reliability engineering and risk analysis. For each distribution, the book provides graphical visualization and related formulas, along with the corresponding reliability functions and other related formulas.

This book contains extended versions of 34 carefully selected and reviewed papers presented at the Third International Conference on Mathematical Methods in Reliability, held in Trondheim, Norway in It provides a broad overview of current research activities in reliability theory and its applications.

This monograph presents a survey of mathematical models useful in solving reliability problems. It includes a detailed discussion of life distributions corresponding to wearout and their use in determining maintenance policies, and covers important topics such as the theory of increasing (decreasing) failure rate distributions, optimum maintenance policies, and the theory of.

approach assumed Balagurusamy binomial binomial coefficient capacitors circuit coefficient component redundancy components in parallel constant cost curve defective denote density depends derating factor device diodes distribution function effective electric electronic elements Englewood Cliffs equations equipment evaluated event expected value 5/5(2).

theory and other pertinent mathematical topics that will help the reader understand subsequent chapters of the book. Chapter 3 discusses various aspects related to maintenance management and control, including department functions and organi-zations, elements of effective management, management control indices, and project control methods.

In the last few decades, this area has expanded in new directions such as safety, security, risk analysis and other fields, yet the book ‘Mathematical Methods in Reliability Theory’ written by Gnedenko with Alexander Soloviev and Yuri Bélyaev still towers as a pillar of the reliability sector’s configuration and identity.

A very concerted effort has been made to keep the book ideally suitable for first course or even for a novice stepping into the area of network reliability. The mathematical treatment is kept as minimal as possible with an assumption on the readers’ side that they have basic knowledge in graph theory, probabilities laws, Boolean laws and set.

This unique treatment systematically interprets a spectrum of importance measures to provide a comprehensive overview of their applications in the areas of reliability, network, risk, mathematical programming, and optimization.

Investigating the precise relationships among various importance measures, it describes how they are modelled and combined with other design tools to allow. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.

Robot System Reliability and Safety: A Modern Approach presents up-to-date information on robot reliability, safety, and related areas in a single volume, eliminating the need to consult diverse sources. After introducing historical, mathematical, and introductory aspects, the book presents methods for analyzing robot system reliability and safety.

Reliability and survival analysis are important applications of stochastic mathematics (probability, statistics and stochastic processes) that are usually covered separately in spite of the similarity of the involved mathematical theory.

This title aims to redress this situation: it includes 21 Author: Catherine Huber. Handbook of Reliability, Availability, Maintainability and Safety in Engineering Design studies the combination of various methods of designing for reliability, availability, maintainability and safety, as well as the latest techniques in probability and possibility modelling, mathematical algorithmic modelling, evolutionary algorithmic modelling, symbolic logic modelling, artificial Brand: Springer-Verlag London.

Additionally, this book describes: Mathematical concepts -Oil and gas industry equipment reliability characteristics -Accident data and analysis -Mathematical models used for performing safety and reliability-related analyses in the industry Safety and Reliability in the Oil and Gas Industry: A Practical Approach covers important aspects of.

An outgrowth of the sixth conference on “Mathematical Methods in Reliability: Theory, Methods, and Applications,” this book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in.

Uncertainty is present in every managerial decision, and Managerial Economics: A Mathematical Approach effectively demonstrates the application of higher-level statistical tools to inform and clarify the logic of problem solving in a managerial environment.

While illuminating managerial decision-making from all possible angles, this book equips readers with the tools and skills. An outgrowth of the sixth conference on “Mathematical Methods in Reliability: Theory, Methods, and Applications,” this book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability.

Understanding Reliability and Validity in Qualitative Research Abstract The use of reliability and validity are common in quantitative research and now it is reconsidered in the qualitative research paradigm. Since reliability and validity are rooted in positivist perspective then they should be redefined for their use in a naturalistic by: X, ,Safety and Reliability in the Oil and Gas Industry: A Practical Approach, B.S.

Dhillon, X,buy best price Safety and Reliability in the Oil and Gas Industry: A Practical Approach, B.S. Dhillon, X, Probabilistic reliability: an engineering approach Electrical Engineering Series Brooklyn Polytechnic Institute series McGraw-Hill electrical and electronic engineering series McGraw-Hill Series in Electrical engineering: Author: Martin L.

Shooman: Publisher: McGraw-Hill, Original from: the University of Michigan: Digitized: Krishna B. Misra, Reliability Engineering A Perspective, Chap Handbook of Performability Engineering, Springer, pdf Chapter 19(36)-Reliability Engineering A The meeting serves as a forum for discussing fundamental issues on mathematical methods in reliability theory and its applications.

A broad overview of current research activities in reliability theory and its applications is provided with coverage on reliability modeling, network and system reliability, Bayesian methods, survival analysis. This chapter deals with power systems reliability including technical, economical, and decisional aspects.

Knowing that almost 90% of failures occur in the distribution systems, great interest was dedicated to this part of the system, and the first work was oriented to reliability indices defined as objectives to attempt and as performance measures in the electricity by: 2.

Nonparametric statistics has probably become the leading methodology for researchers performing data analysis. It is nevertheless true that, whereas these methods have already proved highly effective in other applied areas of knowledge such as biostatistics or social sciences, nonparametric analyses in reliability currently form an interesting area of study that has not yet.

Our Review Highly recommended reading. In this book, Moubray has revised and brought up to date his seminal text on Reliability Centered Maintenance. As with the previous text, he clearly and concisely explains the principles behind RCM in an easily understood fashion, without having to resort to complex mathematical explanations.

Safety and Reliability in the Oil and Gas Industry: A Practical Approach covers important aspects of safety in the offshore oil and gas industry.

A reference designed with engineering professionals in mind, this book can also be used in oil- and gas-industry-related courses, and serves as a guide for anyone concerned with safety and reliability Author: B.S. Dhillon. Reliability Maturity: Understand and Improve Your Reliability Program.

and more on the way. A monthly free Accendo Reliability Webinar series where we explore and discuss reliability engineering topics. Exclusive member’s only events for deeper discussions focused on your questions and challenges. Mathematical Programming: An Overview 1 Management science is characterized by a scientiﬁc approach to managerial decision making.

It attempts to apply mathematical methods and the capabilities of modern computers to the difﬁcult and unstructured problems confronting modern managers. It is a young and novel discipline.

Although its roots can beFile Size: KB. Using stochastic models and a general Bayesian approach to quantifying uncertainty, this text provides a rigorous mathematical treatment that can put bounds of certainty on such well-worn phrases as “credibility”, “reliability”, “risk”, “robustness”, and “survivability” that, as the author points out, have now become very much a part of our daily vocabulary.

Reliability measures are examined, taking into account the reliability function, the expected life, the failure rate and the hazard function, the reliability and hazard function for well-known distributions, hazard models and product life, the estimation of the hazard function and the reliability function from empirical data, and comments on distribution by: Mathematical Statistics with Applications in R, Third Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications.

The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Book Edition: 3.A brand-new experience can be gotten by reviewing a publication Probabilistic Reliability: An Engineering Approach, By Martin L.

Shooman Also that is this Probabilistic Reliability: An Engineering Approach, By Martin L. Shooman or various other book : Todda.