Increased Trustability of Reliability Prognoses for Machine Tools

Autor:	Patrick Werner, Benjamin Behmann, Dominic Appel, Gisela Lanza
Rok vydání:	2011
Předmět:	Service department Service (systems architecture) business.product_category Computer science Field data Spare part Design information business Field (computer science) Reliability (statistics) Reliability engineering Machine tool
Zdroj:	Glocalized Solutions for Sustainability in Manufacturing ISBN: 9783642196911
DOI:	10.1007/978-3-642-19692-8_39
Popis:	The estimation of trustable reliability figures for machine tools is a considerable challenge. The main reasons are the sparse availability of relevant components’ lifetime data as well as the load-dependence of reliability. The proposed paper presents a method to estimate increasingly trustable load-dependent reliability figures for machine tools using design information to estimate the reliability if no field data is given, service knowledge of an existing service department which monitors field maintenance of the products and documented field data of spare parts sales, service and maintenance activities.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b022b2e567298bead88f7e7c0ff69f41 https://doi.org/10.1007/978-3-642-19692-8_39 Zobrazit plný text záznamu