Diagnosis of bearing defects using tunable Q-wavelet transform
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-018-0102-8
Abstract: Defects in rolling element bearings are foremost cause of failure in rotating machines. The accurate and fast diagnosis of bearing defects like spall, dents, pits, cracks etc. on the various component of bearing can be… read more here.
Keywords: tunable wavelet; wavelet transform; diagnosis bearing; using tunable ... See more keywords
Optimized Tunable Q Wavelet Transform Based Drowsiness Detection from Electroencephalogram Signals
Sign Up to like & getrecommendations! Published in 2020 at "Irbm"
DOI: 10.1016/j.irbm.2020.07.005
Abstract: Abstract Early discernment of drivers drowsy state may prevent numerous worldwide road accidents. Electroencephalogram (EEG) signals provide valuable information about the neurological changes for discrimination of alert and drowsy state. A signal is decomposed into… read more here.
Keywords: decomposition parameters; wavelet transform; tunable wavelet; wavelet ... See more keywords
Automated identification system for seizure EEG signals using tunable-Q wavelet transform
Sign Up to like & getrecommendations! Published in 2017 at "Engineering Science and Technology, an International Journal"
DOI: 10.1016/j.jestch.2017.11.003
Abstract: Abstract In the present work, EEG signals of different classes are analysed in tunable-Q wavelet transform (TQWT) framework. The TQWT decomposes the EEG signals into subbands and arrange them into decreasing order of frequency. The… read more here.
Keywords: eeg signals; wavelet transform; seizure; tunable wavelet ... See more keywords