Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring

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ISBN: 9780443334863
Author : Bingchang Hou
Published: 2025
Publisher: Elsevier
Language: English
Format: Paperback / softback
Format: 9×6

Description

<i>Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring</i> 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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