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IEEE/ICACT20240429 Slide.02        [Big Slide]	Oral Presentation
	Prognostics and health management (PHM) is very helpful to (1) ensure the safe operation of machinery, (2) improve the productivity, and (3) increase economic benefits [2]. Wu et al. have developed a hybrid deep-learning model based on CNN and gcForest [3]. Yao et al. proposed a method using the ability of the 1D-CNN to extract signal features of the signals in the XJTU-SY bearing datasets [4]. Zhao et al. [5] proposed a method of the signal-to-signal translation into the field of data-driven fault diagnosis of bearings and gears.

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