Signal Processing and Artificial Intelligence Technology for High-End Equipment Fault Diagnosis (Hardcover)
Language: English
Published by Mdpi AG, 2025
- Hardcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 70.99
Quantity: 1 available
Add to basketItem description from seller
Hardcover. This Reprint presents the latest research progress of signal processing and artificial intelligence technologies for fault diagnosis of high-end mechanical equipment. It contains 13 original research papers, covering advanced dynamics modeling and mechanism analysis methods, novel signal processing and artificial intelligence methods for machine fault diagnosis using various sensing technologies, and their multi-field applications. These papers mainly report research outcomes in mechanical engineering and its interdisciplinary fields, covering different themes including fault mechanism analysis; structural health monitoring; fault diagnosis and remaining useful life prediction of rotating machinery; high-end mechanical equipment in different industrial fields including the railway, wind energy, machinery manufacturing, and aerospace industries; and different sensing technologies including vibration, temperature, thermal imaging, electrical signals, and force or torque. The Reprint highlights how different sensing technologies could be integrated with advanced signal processing and artificial intelligence technologies for fault diagnosis of industrial mechanical systems. The research results of these interdisciplinary applications will contribute to better understanding of the mechanisms of machine fault diagnosis and remaining useful life prediction, and the application of these advanced monitoring and diagnostic technologies will improve the safety and reliability of mechanical systems in various industrial fields. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9783725849611
- Title
- Signal Processing and Artificial Intelligence Technology for High-End Equipment Fault Diagnosis (Hardcover)
- Author
- Bingyan Chen
- Publisher
- Mdpi AG
- Publication year
- 2025
- Condition
- new
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3725849617
- ISBN 13
- 9783725849611
This Reprint presents the latest research progress of signal processing and artificial intelligence technologies for fault diagnosis of high-end mechanical equipment. It contains 13 original research papers, covering advanced dynamics modeling and mechanism analysis methods, novel signal processing and artificial intelligence methods for machine fault diagnosis using various sensing technologies, and their multi-field applications. These papers mainly report research outcomes in mechanical engineering and its interdisciplinary fields, covering different themes including fault mechanism analysis; structural health monitoring; fault diagnosis and remaining useful life prediction of rotating machinery; high-end mechanical equipment in different industrial fields including the railway, wind energy, machinery manufacturing, and aerospace industries; and different sensing technologies including vibration, temperature, thermal imaging, electrical signals, and force or torque. The Reprint highlights how different sensing technologies could be integrated with advanced signal processing and artificial intelligence technologies for fault diagnosis of industrial mechanical systems. The research results of these interdisciplinary applications will contribute to better understanding of the mechanisms of machine fault diagnosis and remaining useful life prediction, and the application of these advanced monitoring and diagnostic technologies will improve the safety and reliability of mechanical systems in various industrial fields.
"Synopsis" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
Shipping rates from United Kingdom to U.S.A.
| Item | 7 to 14 business days | 7 to 60 business days |
|---|---|---|
| First item | £ 37.00 | £ 37.00 |
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