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However, the applications of time-frequency analysis were widely used in many fields, such as lung sound diagnosis [9–11] and speech recognition [12-14].
Furthermore, the spectrogram is a very crucial tool to display the results of time-frequency analysis. Therefore, some studies related to the XJTU-SY bearing datasets inserted spectrograms as a method for analysis.
Zhang et al. employed the data of the spectrogram as an input of improved ConvNext [15].
Cheng et al. compared the spectrograms between trained and untrained data [16]. The function of the spectrogram supported an efficient method to the studies.
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IEEE/ICACT20240429 Slide.03
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