Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring
Book Details
Format
Paperback / Softback
ISBN-10
0443334862
ISBN-13
9780443334863
Publisher
Elsevier - Health Sciences Division
Imprint
Elsevier - Health Sciences Division
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 22nd, 2025
Print length
184 Pages
Weight
450 grams
Product Classification:
Mechanical engineeringCommunications engineering / telecommunicationsSignal processing
Ksh 24,100.00
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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.
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.
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