00000000nam 2200000zi 4500
0019.860651
003CaOODSP
00520221107160542
006m     o  d f      
007cr |||||||||||
008180816e201808##onca    o    f000 0 eng d
020 |a9780660275987|z9780660273051
040 |aCaOODSP|beng|erda|cCaOODSP
043 |an-cn---
0861 |aNR16-244/2018E-PDF|zNR16-237/2018E-PDF
24500|aIntelligent maintenance systems for platforms.
264 1|a[Ottawa] : |bNational Research Council Canada = Conseil national de recherches Canada, |cAugust 2018.
300 |a1 online resource (2 unnumbered pages) : |billustrations
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
500 |aTitle from caption.
500 |aIncorrect catalogue number (NR16-237/2018E-PDF) and ISBN (9780660273051) printed in this publication.
500 |aIssued also in French under title: Systèmes de maintenance intelligents pour les plateformes.
520 |a"Intelligent Maintenance Systems (IMS), or advanced Condition-Based Maintenance (CBM) systems, are predictive technologies that integrate diagnostic and/or prognostic tools to facilitate decision-making. This “smart” approach to identifying, scheduling and performing maintenance tasks is based on a holistic real-time understanding of a platform’s critical components. Accumulation of historical and current data from sensors provide a continuous dynamic flow of information throughout the maintenance process with the goal of tracking health degradation to predict which components are likely to fail, and when"--Page [1].
69207|2gccst|aMaintenance
69207|2gccst|aIntelligent systems
69207|2gccst|aTechnological innovation
7102 |aNational Research Council Canada.
77508|tSystèmes de maintenance intelligents pour les plateformes.|w(CaOODSP)9.860652
85640|qPDF|s169 KB|uhttps://publications.gc.ca/collections/collection_2019/cnrc-nrc/NR16-244-2018-eng.pdf