Reliability Modelling A Statistical Approach
Auteur : Wolstenholme Linda C.
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 modelling, from the basics through advanced modelling techniques.
The book begins by presenting a thorough grounding in the elements of modelling the lifetime of a single, non-repairable unit. Assuming no prior knowledge of the subject, the author includes a guide to all the fundamentals of probability theory, defines the various measures associated with reliability, then describes and discusses the more common lifetime models: the exponential, Weibull, normal, lognormal and gamma distributions. She concludes the groundwork by looking at ways of choosing and fitting the most appropriate model to a given data set, paying particular attention to two critical points: the effect of censored data and estimating lifetimes in the tail of the distribution.
The focus then shifts to topics somewhat more difficult:
The final chapter provides snapshot introductions to a range of advanced models and presents two case studies that illustrate various ideas from throughout the book.
Date de parution : 12-2017
15.6x23.4 cm
Thèmes de Reliability Modelling :
Mots-clés :
Reliability Function; probability; Weibull Model; density; Exponential Lifetime; function; Hazard Function; maximum; Weibull Distribution; likelihood; Uncensored Observations; estimate; Weibull Plots; hazard; Weakest Link Property; weibull; IID Random Variable; distribution; Markov Diagram; exponential; Minimal Cut Set; Linda C; Wolstenholme; Laplace Transforms; Gumbel Distribution; Distribution Function; Maximum Likelihood; Probability Density Function; Weibull Parameters; Failure Time; Graphical Exploratory Data Analysis; RBD; Dirt Contamination; Fault Free System; Posterior Distribution; Cumulative Distribution Function; Individual Component Reliabilities