01117nam a22002891i 450099100045406970753620021010085016.0021010s1991 it |||||||||||||||||ita 8870781879b12007389-39ule_instARCHE-009718ExLDip.to Filologia Ling. e Lett.itaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.848.9140Jabès, Edmond443255Il libro dell'ospitalità /Edmond Jabes ; con una nota di Antonio PreteMilano :Raffaello Cortina,1991120 p. ;20 cmMinimaPrete, Antoniolivre de l'hospitalité.b1200738928-04-1701-04-03991000454069707536LE008 Cr O II 1112008000249465le008-E0.00-l- 01010.i1229339801-04-03LE008 FL.M. VII A 1032LE008N-7850le008-E0.00-l- 00000.i1229340401-04-03Libro dell'ospitalità133494UNISALENTOle00801-04-03ma -itait 3205050nam 22007095 450 991014885430332120250625083632.010.1007/978-3-319-44742-1(CKB)3710000000918157(DE-He213)978-3-319-44742-1(MiAaPQ)EBC4723678(PPN)196326095(EXLCZ)99371000000091815720161024d2017 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierPrognostics and Health Management of Engineering Systems An Introduction /by Nam-Ho Kim, Dawn An, Joo-Ho Choi1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XIV, 347 p. 166 illus., 155 illus. in color.)3-319-44740-8 3-319-44742-4 Includes bibliographical references at the end of each chapters and index.Introduction -- Tutorials for Prognostics -- Bayesian Statistics for Prognostics -- Physics-Based Prognostics -- Data-Driven Prognostics -- Study on Attributes of Prognostic Methods -- Applications of Prognostics.This book introduces the methods for predicting the future behavior of a system’s health and the remaining useful life to determine an appropriate maintenance schedule. The authors introduce the history, industrial applications, algorithms, and benefits and challenges of PHM (Prognostics and Health Management) to help readers understand this highly interdisciplinary engineering approach that incorporates sensing technologies, physics of failure, machine learning, modern statistics, and reliability engineering. It is ideal for beginners because it introduces various prognostics algorithms and explains their attributes, pros and cons in terms of model definition, model parameter estimation, and ability to handle noise and bias in data, allowing readers to select the appropriate methods for their fields of application. Among the many topics discussed in-depth are: • Prognostics tutorials using least-squares • Bayesian inference and parameter estimation • Physics-based prognostics algorithms including nonlinear least squares, Bayesian method, and particle filter • Data-driven prognostics algorithms including Gaussian process regression and neural network • Comparison of different prognostics algorithms The authors also present several applications of prognostics in practical engineering systems, including wear in a revolute joint, fatigue crack growth in a panel, prognostics using accelerated life test data, fatigue damage in bearings, and more. Prognostics tutorials with a Matlab code using simple examples are provided, along with a companion website that presents Matlab programs for different algorithms as well as measurement data. Each chapter contains a comprehensive set of exercise problems, some of which require Matlab programs, making this an ideal book for graduate students in mechanical, civil, aerospace, electrical, and industrial engineering and engineering mechanics, as well as researchers and maintenance engineers in the above fields.Renewable energy resourcesAerospace engineeringAstronauticsSignal processingImage processingSpeech processing systemsBuilding materialsCivil engineeringRenewable and Green Energyhttps://scigraph.springernature.com/ontologies/product-market-codes/111000Aerospace Technology and Astronauticshttps://scigraph.springernature.com/ontologies/product-market-codes/T17050Signal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Structural Materialshttps://scigraph.springernature.com/ontologies/product-market-codes/Z11000Civil Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/T23004Renewable energy resources.Aerospace engineering.Astronautics.Signal processing.Image processing.Speech processing systems.Building materials.Civil engineering.Renewable and Green Energy.Aerospace Technology and Astronautics.Signal, Image and Speech Processing.Structural Materials.Civil Engineering.621.042Kim Nam H.authttp://id.loc.gov/vocabulary/relators/aut771504An Dawnauthttp://id.loc.gov/vocabulary/relators/autChoi Joo-Hoauthttp://id.loc.gov/vocabulary/relators/autBOOK9910148854303321Prognostics and Health Management of Engineering Systems4398239UNINA