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Fault Diagnosis and Prognostics Based on Cognitive Computing and Geometric Space Transformation / by Chen Lu, Laifa Tao, Jian Ma, Yujie Cheng, Yu Ding.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online
View online- Format:
- Book
- Author/Creator:
- Lü, Chen.
- Series:
- Intelligent Technologies and Robotics Series
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Automatic control.
- Computational Intelligence.
- Artificial Intelligence.
- Control and Systems Theory.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Control and Systems Theory.
- Physical Description:
- 1 online resource (503 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9789819989171
- 9819989175
- OCLC:
- 1482833418
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