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An efficient short-time Fourier transform algorithm for grinding wheel condition monitoring through...

An efficient short-time Fourier transform algorithm for grinding wheel condition monitoring through...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2491440849

An efficient short-time Fourier transform algorithm for grinding wheel condition monitoring through acoustic emission

About this item

Full title

An efficient short-time Fourier transform algorithm for grinding wheel condition monitoring through acoustic emission

Publisher

London: Springer London

Journal title

International journal of advanced manufacturing technology, 2021-03, Vol.113 (1-2), p.585-603

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

Indirect methods to monitor the surface integrity of grinding wheels by acoustic emission (AE) have been proposed, aiming to ensure their optimal performance. However, the time-frequency analysis of the content of these signals has not been addressed in the literature. AE signal analysis performed only in the frequency domain makes it impossible to...

Alternative Titles

Full title

An efficient short-time Fourier transform algorithm for grinding wheel condition monitoring through acoustic emission

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2491440849

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2491440849

Other Identifiers

ISSN

0268-3768

E-ISSN

1433-3015

DOI

10.1007/s00170-020-06476-3

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