Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring - Tapa blanda

Wang

 
9780443334863: Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring
Tapa blanda
ISBN 10: 0443334862 ISBN 13: 9780443334863
Editorial: Elsevier, 2025

Sinopsis

Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring presents newly designed sparsity measures and their advanced signal processing technologies for machine condition monitoring and fault diagnosis. This book systematically covers new sparsity measures including a quasiarithmetic mean ratio framework for fault signatures quantification, a generalized Gini index, as well as classic sparsity measures based on signal processing technologies and a cycle-embedded sparsity measure based on new impulsive mode decomposition technology. This book additionally includes a sparsity measure data-driven framework–based optimized weights spectrum theory and its relevant advanced signal processing technologies.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca de los autores

Dr Dong Wang has over 15 years of research experience on machine condition monitoring and fault diagnosis. Dr. Wang’s research focuses on the theoretical foundations of fault feature extraction and their applications to machine condition monitoring, fault diagnosis and prognostics. Dr. Wang has published over 150 journal papers (the first author for 40+ papers)

Bingchang Hou received his B.Eng. degree in Mechanical Engineering from Chongqing University, Chongqing, China, in 2020. Since Sep. 2020, he is pursuing his Ph.D. degree in Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China. His research interests include machine condition monitoring and fault diagnosis, prognostics and health management, sparsity measures, signal processing, and machine learning

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Elsevier
Año de publicación
2025
Idioma
Inglés
ISBN 10 
0443334862
ISBN 13 
9780443334863
Encuadernación
Tapa blanda
Número de páginas
184
Contacto del fabricante
ELSEVIER
https://www.elsevier.com/es-es

Mooswaldallee 6
Freiburg
79108
Alemania