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portada Signal Processing and Artificial Intelligence Technology for High-End Equipment Fault Diagnosis
Type
Physical Book
Publisher
Author
Language
English
Pages
290
Format
Hardcover
Dimensions
24.4x17x2.4 cm
ISBN13
9783725849611

Signal Processing and Artificial Intelligence Technology for High-End Equipment Fault Diagnosis

Chen, Bingyan; Cheng, Yao (Author) · Mdpi AG · Hardcover

Signal Processing and Artificial Intelligence Technology for High-End Equipment Fault Diagnosis - Chen, Bingyan; Cheng, Yao

New Book Imported to New Zealand
Delivery: 18 Nov - 25 Nov Shipping: 5 to 6 business days.
NZ$ 209.82
Import costs and 15% GST included in the price ✅
NZ$ 209.82

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Synopsis "Signal Processing and Artificial Intelligence Technology for High-End Equipment Fault Diagnosis"

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.

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