Fault Diagnosis and Prognostics Based on Cognitive Computing and Geometric Space Transformation
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
Includes the latest findings on fault diagnosis and prognosis for complex equipment Applies new cognitive methods to fault diagnosis, health assessment and prognoses for electromechanical products Includes a wealth of simulations, experiments and engineering cases
Autor*in
Chen Lu
Themen in »Fault Diagnosis and Prognostics Based on Cognitive Computing and Geometric Space Transformation«
Fault diagnosis visual cognition Prognostic and health management Geometric space transformation deep learning transfer learning compressed sensing Cognitive computing