03519nam a22005655i 4500 978-981-99-8917-1 DE-He213 20251030114918.0 cr nn 008mamaa 250102s2024 si | s |||| 0|eng d 9789819989171 978-981-99-8917-1 10.1007/978-981-99-8917-1 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Lu, Chen. author. aut http://id.loc.gov/vocabulary/relators/aut 90093 Fault Diagnosis and Prognostics Based on Cognitive Computing and Geometric Space Transformation [electronic resource] / by Chen Lu, Laifa Tao, Jian Ma, Yujie Cheng, Yu Ding. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIV, 554 p. 357 illus., 281 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter 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. This 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. Computational intelligence. 64052 Artificial intelligence. 58441 Control engineering. Computational Intelligence. 64052 Artificial Intelligence. 58441 Control and Systems Theory. 65868 Tao, Laifa. author. aut http://id.loc.gov/vocabulary/relators/aut 90094 Ma, Jian. author. aut http://id.loc.gov/vocabulary/relators/aut 76886 Cheng, Yujie. author. aut http://id.loc.gov/vocabulary/relators/aut 90095 Ding, Yu. author. aut http://id.loc.gov/vocabulary/relators/aut 90096 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819989164 Printed edition: 9789819989188 Printed edition: 9789819989195 https://doi.org/10.1007/978-981-99-8917-1 ZDB-2-INR ZDB-2-SXIT 66308 66308