Prognostics for industrial machinery availability
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Prognostics for industrial machinery availability final seminar, Espoo 12.12.2006

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Published by VTT in Espoo, Finland .
Written in English

Subjects:

  • Industrial engineering -- Congresses.

Book details:

Edition Notes

Statementedited by Aino Helle.
GenreCongresses.
SeriesVTT Symposium -- 243.
ContributionsHelle, Aino.
The Physical Object
Pagination1 v. (various pagings) :
ID Numbers
Open LibraryOL16153492M
ISBN 109513863093, 9513863107
ISBN 109789513863098, 9789513863104

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Industrial Prognostics predicts an industrial system’s lifespan using probability measurements to determine the way a machine operates. Prognostics are essential in determining being able to predict and stop failures before they occur.   Zio, E.: Prognostics and health management of industrial equipment. In: Kadry, S. (ed.) Diagnostics and Prognostics of Engineering Systems: Methods and Techniques, pp. – IGI Global () Google Scholar.   The methods presented in this book are real-world examples that demonstrate improvements in essential reliability and availability for industrial equipment such as medical magnetic resonance imaging, power systems, traction drives for a search and rescue helicopter, and air conditioning systems.   Prognostics and Health Management of Electronics also explains how to understand statistical techniques and machine learning methods used for diagnostics and prognostics. Using this valuable resource, electrical engineers, data scientists, and design engineers will be able to fully grasp the synergy between IoT, machine learning, and risk Manufacturer: Wiley-IEEE Press.