Open AccessScalogram-Based Instantaneous Features of Acoustic Emission in Grinding Burn Detection
Author(s) -
İ̇sa Yeşilyurt,
AUTHOR_ID,
Abdullah Dalkiran,
Önder Yeşil,
Ozan Müştak,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2021
Publication title -
journal of dynamics, monitoring and diagnostics
Language(s) - English
Resource type - Journals
eISSN - 2833-650X
pISSN - 2831-5308
DOI - 10.37965/jdmd.2021.49
Subject(s) - hilbert–huang transform , grinding , instantaneous phase , acoustic emission , signal (programming language) , energy (signal processing) , materials science , acoustics , phase (matter) , computer science , engineering , composite material , mathematics , statistics , physics , electrical engineering , filter (signal processing) , quantum mechanics , programming language
Time-frequency methods are effective tools in identifying the frequency content of a signal and revealing its time-variant features. This paper presents the use of instantaneous features (i.e. instantaneous energy and signal phase) of acoustic emission (AE) in the detection of thermal damage to the workpiece in grinding. Both the instantaneous energy and mean frequency are obtained using the low-order frequency moments of a scalogram. While the zero-order frequency moment yields the instantaneous energy, the first-order frequency moment gives the instantaneous frequency by which the signal phase is recovered. The grinding process is monitored using acoustic emission for various operating conditions, including the regular grinding, grinding at a higher cutting speed and larger infeed, and small dressing depth of cut. It has been found that both the instantaneous energy and phase deviation indicate the presence of burn damage and serve as robust and reliable indicators, providing a basis for detecting the grinding burn.