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Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring

By (author) Dong Wang, By (author) Bingchang Hou

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normal price: R 6 429.95

Price: R 5 786.95

| book description |

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.

| product details |



Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | Elsevier - Health Sciences Division
Published date | 22 May 2025
Language |
Format | Paperback / softback
Pages | 184
Dimensions | 229 x 152 x 0mm (L x W x H)
Weight | 310g
ISBN | 978-0-4433-3486-3
Readership Age |
BISAC | technology / engineering / mechanical

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