Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring

Name: Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring
Brand: Elsevier Science
SKU: 9780443334863
Price: 66085 HUF
Availability: InStock

Szerző: Dong Wang, Bingchang Hou

Nyelv:

Kötés: Puha kötésű

Kiadó: Elsevier Science

Elérhetőség: Beszállítói készleten

Küldés 9-13 napon belül

66 085 Ft

Sparsity measures are effective indicators for quantifying the sparsity of data sequences. They are...

Információk a könyvről

Szerző

Dong Wang, Bingchang Hou

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2025

oldal

300

EAN

9780443334863

ISBN

0443334862

Enbook ID

46434868

Kiadó

Elsevier Science

Súly

450

Méretek

152 x 229

Teljes leírás

Sparsity measures are effective indicators for quantifying the sparsity of data sequences. They are often used for fault feature characterization in condition monitoring and fault diagnosis of rotating machinery. Newly Designed Sparsity Measures and Advanced Signal Processing Technologies for Machine Condition Monitoring introduces newly designed sparsity measures and their advanced signal processing technologies for machine condition monitoring and fault diagnosis. The book systematically introduces: (1) new sparsity measures such as quasi-arithmetic mean ratio framework for fault signatures quantification, generalized Gini index, etc.; (2) classic sparsity measures based on signal processing technologies and cycle-embedded sparsity measure based on new impulsive mode decomposition technology; and (3) a sparsity measure data-driven framework based optimized weights spectrum theory and its relevant advanced signal processing technologies.

Provides the background, roadmaps and detailed discussion of newly designed sparsity measures and their advanced signal processing technologies for machine condition monitoring and fault diagnosis
Covers new theories, advanced technologies and the latest contributions in the field of machine condition monitoring and fault diagnosis: especially in newly advanced sparsity measures for fault signature quantification, classic and advanced sparsity measures-based signal processing technologies and sparsity measures using data-driven framework-based signal processing technologies
Provides experimental and real-world practical validation cases - including newly advanced sparsity measures and their advanced signal processing technologies

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták

Leggyakrabban keresett

Categories

Authors

Publishers

Termékek

Termékek

Leggyakrabban keresett

Categories

Authors

Publishers

Termékek

Termékek

Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták