03282nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050000900172072001600181072002300197072001500220100007800235245018000313250001800493264007200511300006700583336002600650337002600676338003600702347002400738505045800762520075201220650003901972650003602011650002502047650003902072650003602111650003902147700008002186700007802266700008202344700007802426710003402504773002602538776003602564776003602600776003602636856004602672912001402718912001502732999001702747978-981-99-8917-1DE-He21320251030114918.0cr nn 008mamaa250102s2024    si |    s    |||| 0|eng d  a97898199891719978-981-99-8917-17 a10.1007/978-981-99-8917-12doi 4aQ342 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema1 aLu, Chen.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut99009310aFault Diagnosis and Prognostics Based on Cognitive Computing and Geometric Space Transformationh[electronic resource] /cby Chen Lu, Laifa Tao, Jian Ma, Yujie Cheng, Yu Ding.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXIV, 554 p. 357 illus., 281 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aChapter 1 Introduction -- Chapter 2 Fault Diagnosis and Prognosis based on Deep Learning and Transfer Learning -- Chapter 3 Fault Diagnosis and Evaluation Based on Visual Cognitive Computing -- Chapter 4 Fault Diagnosis Based on Compressed Sensing -- Chapter 5 Fault Diagnosis and Evaluation Based on Differential Geometry -- Chapter 6 Performance Degradation Prediction and Assessment based on Geometric Space Transformation and Morphology Recognition.  aThis monograph introduces readers to new theories and methods applying cognitive computing and geometric space transformation to the field of fault diagnosis and prognostics. It summarizes the basic concepts and technical aspects of fault diagnosis and prognostics technology. Existing bottleneck problems are examined, and the advantages of applying cognitive computing and geometric space transformation are explained. In turn, the book highlights fault diagnosis, prognostic, and health assessment technologies based on cognitive computing methods, including deep learning, transfer learning, visual cognition, and compressed sensing. Lastly, it covers technologies based on differential geometry, space transformation, and pattern recognition. 0aComputational intelligence.964052 0aArtificial intelligence.958441 0aControl engineering.14aComputational Intelligence.96405224aArtificial Intelligence.95844124aControl and Systems Theory.9658681 aTao, Laifa.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9900941 aMa, Jian.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9768861 aCheng, Yujie.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9900951 aDing, Yu.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9900962 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981998916408iPrinted edition:z978981998918808iPrinted edition:z978981998919540uhttps://doi.org/10.1007/978-981-99-8917-1  aZDB-2-INR  aZDB-2-SXIT  c66308d66308