{"title":"Linda C. Wolstenholme","description":"\u003cp\u003eLinda C. Wolstenholme’s works delve into the specialised field of \u003cem\u003ereliability engineering\u003c\/em\u003e, offering precise and authoritative insights into the modelling and analysis of system dependability. Her writings are essential for professionals and students seeking a deep understanding of reliability theory and its practical applications within engineering.\u003c\/p\u003e\n\n\u003cp\u003eReaders can expect rigorous treatment of technical concepts presented with clarity, making complex topics accessible without sacrificing detail. These books serve as valuable resources for those aiming to enhance their expertise in engineering reliability and risk assessment.\u003c\/p\u003e","products":[{"product_id":"reliability-modelling-by-linda-c-wolstenholme-9781138469143","title":"Reliability Modelling","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eReliability Modelling\u003c\/em\u003e is an essential concept in mathematics, computing, research, and all disciplines of engineering. 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.\u003c\/p\u003e\n\n\u003cp\u003eThe 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. She 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.\u003c\/p\u003e\n\n\u003cp\u003eThe focus then shifts to topics somewhat more difficult:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eThe difference in the analysis of lifetimes for repairable versus non-repairable systems and whether repair truly \"renews\" the system.\u003c\/li\u003e\n    \u003cli\u003eMethods for dealing with systems with reliability characteristics specified for more than one component or subsystem.\u003c\/li\u003e\n    \u003cli\u003eThe effect of different types of maintenance strategies.\u003c\/li\u003e\n    \u003cli\u003eThe analysis of life test data.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eThe final chapter provides snapshot introductions to a range of advanced models and presents two case studies that illustrate various ideas from throughout the book.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47607489954028,"sku":"9781138469143","price":447.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781138469143-reliability-modelling.jpg?v=1778168048"}],"url":"https:\/\/bookhero.co.nz\/collections\/linda-c-wolstenholme.oembed","provider":"Book Hero","version":"1.0","type":"link"}