Reliability Modelling

<p>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.<br><br>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.<br><br>The focus then shifts to topics somewhat more difficult:</p><li>the difference in the analysis of lifetimes for repairable versus non-repairable systems and whether repair truly renews the system<br> </li><li>methods for dealing with system with reliability characteristic specified for more than one component or subsystem<br> </li><li>the effect of different types of maintenance strategies<br> </li><li>the analysis of life test data<br><br>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.</li>