rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advances in Condition Monitoring of Machinery in Non-Stationary Operations
    sub title: Proceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations CMMNO 2013
  name:
    name part: Dalpiaz, Giorgio.
    role:
      role term: editor.
  name:
    name part: Rubini, Riccardo.
    role:
      role term: editor.
  name:
    name part: D'Elia, Gianluca.
    role:
      role term: editor.
  name:
    name part: Cocconcelli, Marco.
    role:
      role term: editor.
  name:
    name part: Chaari, Fakher.
    role:
      role term: editor.
  name:
    name part: Zimroz, Radoslaw.
    role:
      role term: editor.
  name:
    name part: Bartelmus, Walter.
    role:
      role term: editor.
  name:
    name part: Haddar, Mohamed.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 709 p. 440 illus., 307 illus. in color. online resource.
  abstract: This book presents the processings of the third edition of the Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO13) which was held in Ferrara, Italy. This yearly event merges an international community of researchers who met – in 2011 in Wroclaw (Poland) and in 2012 in Hammamet (Tunisia) – to discuss issues of diagnostics of rotating machines operating in complex motion and/or load conditions. The growing interest of the industrial world on the topics covered by the CMMNO13 involves the fields of packaging, automotive, agricultural, mining, processing and wind machines in addition to that of the systems for data acquisition.The participation of speakers and visitors from industry makes the event an opportunity for immediate assessment of the potential applications of advanced methodologies for the signal analysis. Signals acquired from machines often contain contributions from several different components as well as noise. Therefore, the major challenge of condition monitoring is to point out the signal content that is related to the state of the monitored component particularly in non-stationary conditions. The book is divided into the following sections, namely: Part 1: Keynote Speeches Part 2: Rolling bearing diagnostics Part 3: Gearbox diagnostics Part 4: Signal processing for machine condition monitoring Part 5: Experimental and numerical modeling of machine dynamics Part 6: Mechanical systems diagnostics .
  table of contents: Rolling bearing diagnostics -- Gearbox diagnostics -- Signal processing for machine condition monitoring -- Experimental and numerical modeling of machine dynamics -- Mechanical systems diagnostics.
  note: edited by Giorgio Dalpiaz, Riccardo Rubini, Gianluca D'Elia, Marco Cocconcelli, Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddar.
  subject:
    topic: Engineering
  subject:
    topic: Engineering design
  subject:
    topic: Machinery
  subject:
    topic: Engineering
  subject:
    topic: Machinery and Machine Elements
  subject:
    topic: Engineering Design
  classification: TA213-215
  classification: 621.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Mechanical Engineering
  identifier: 9783642393488
  identifier: http://dx.doi.org/10.1007/978-3-642-39348-8
  record info:
    record creation date: 131005
    record change date: 20151030061512.0
    record identifier: 978-3-642-39348-8