02874nam 2200661 a 450 991045235220332120200520144314.01-280-39438-2978661357230190-272-7391-X(CKB)2550000000100666(EBL)915602(OCoLC)793996608(SSID)ssj0000641525(PQKBManifestationID)12209199(PQKBTitleCode)TC0000641525(PQKBWorkID)10623319(PQKB)11607112(MiAaPQ)EBC915602(Au-PeEL)EBL915602(CaPaEBR)ebr10562053(CaONFJC)MIL357230(EXLCZ)99255000000010066620120307d2012 uy 0engur|n|---|||||txtccrStandard languages and multilingualism in European history[electronic resource] /edited by Matthias Hüning, Ulrike Vogl, Olivier MolinerAmsterdam ;Philadelphia John Benjamins Pub. Co.20121 online resource (349 p.)Multilingualism and diversity management,2210-7010 ;v. 1Description based upon print version of record.90-272-0055-6 Includes bibliographical references and indexes.section 1. Theoretical considerations and historical background -- section 2. Case-studies : the changing relationship between standard languages and other varieties.This volume explores the roots of Europe's struggle with multilingualism. It argues that, over the centuries, the pursuit of linguistic homogeneity has become a central aspect of the mindset of Europeans. In its extreme form, it became manifest in the principle of 'one language, one state, one people'. Consequently, multilingualism came to be viewed as an undesirable aberration. The authors of this volume approach the relationship between standard languages and multilingualism from a historical, cross-European perspective. They provide a comprehensive overview of the emergence of a standard laMultilingualism and Diversity ManagementMultilingualismEuropeHistoryLanguage policyEuropeLanguage planningEuropeEuropeLanguagesElectronic books.MultilingualismHistory.Language policyLanguage planning306.44/6094Hüning Matthias881999Vogl Ulrike882000Moliner Olivier1972-919615MiAaPQMiAaPQMiAaPQBOOK9910452352203321Standard languages and multilingualism in European history2062761UNINA03621nam 2200529 450 991055507390332120210610082428.01-119-35670-91-119-35669-51-119-35667-9(CKB)4100000007823717(MiAaPQ)EBC5744605(CaSebORM)9781119356653(EXLCZ)99410000000782371720190422d2019 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPrognostics and health management a practical approach to improving system reliability using conditioned-based data /Douglas Goodman, James P. Hofmeister and Ferenc Szidarovszky1st editionHoboken, New Jersey ;Chichester, West Sussex, England :Wiley,[2019]©20191 online resource (385 pages)1-119-35665-2 Includes bibliographical references and index.A comprehensive guide to the application and processing of condition-based data to produce prognostic estimates of functional health and life. Prognostics and Health Management provides an authoritative guide for an understanding of the rationale and methodologies of a practical approach for improving system reliability using conditioned-based data (CBD) to the monitoring and management of health of systems. This proven approach uses electronic signatures extracted from conditioned-based electrical signals, including those representing physical components, and employs processing methods that include data fusion and transformation, domain transformation, and normalization, canonicalization and signal-level translation to support the determination of predictive diagnostics and prognostics. Written by noted experts in the field, Prognostics and Health Management clearly describes how to extract signatures from conditioned-based data using conditioning methods such as data fusion and transformation, domain transformation, data type transformation and indirect and differential comparison. This important resource: Integrates data collecting, mathematical modelling and reliability prediction in one volume Contains numerical examples and problems with solutions that help with an understanding of the algorithmic elements and processes Presents information from a panel of experts on the topic Follows prognostics based on statistical modelling, reliability modelling and usage modelling methods Written for system engineers working in critical process industries and automotive and aerospace designers, Prognostics and Health Management offers a guide to the application of condition-based data to produce signatures for input to predictive algorithms to produce prognostic estimates of functional health and life.MachineryReliabilityEquipment health monitoringMachineryMaintenance and repairPlanningStructural failuresMathematical modelsMachineryReliability.Equipment health monitoring.MachineryMaintenance and repairPlanning.Structural failuresMathematical models.621.816Goodman Douglas(Industrial engineer),1217997Hofmeister James P.Szidarovszky FerencMiAaPQMiAaPQMiAaPQBOOK9910555073903321Prognostics and health management2816653UNINA