Defect Diagnosis of Gear-Shaft Bearing System Based on the OWF-TSCNN Composed of Wavelet Time-Frequency Map and FFT Spectrum 1

Table 7

Composition of the diagnostic model.

Diagnosis model	Multisource information fusion	Learning model	Input to the learning model	Symbol
1	Optimal weighting factor	1D-CNN	FFT spectrum	OWF-1DCNN
2	Optimal weighting factor	2D-CNN	Wavelet time-frequency map	OWF-2DCNN
3	Variance contribution rate [32]	Two-stream CNN	FFT spectrum (1D-CNN)	VCR-TSCNN
			Wavelet time-frequency map (2D-CNN)
4	Optimal weighting factor	Two-stream CNN	FFT spectrum (1D-CNN)	OWF-TSCNN
			Wavelet time-frequency map (2D-CNN)