Ny
Data & IT
Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring
Dong Wang • Bingchang Hou • Dong Wang • Bingchang Hou B Eng
1999:-
Uppskattad leveranstid 7-12 arbetsdagar
Fri frakt för medlemmar vid köp för minst 249:-
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.
- Format: EPUB
- ISBN: 9780443334863
- Språk: Engelska
- Utgivningsdatum: 2025-05-22
- Förlag: Elsevier - Health Sciences Division