The Importance of Feature Processing in Deep-Learning-Based Condition Monitoring of Motors

Table 6

Application of GAN in condition monitoring of motors.

Year	Input data and features	DL model	Application	Remarks
2019	Raw vibration	ACGAN + batch normalization [116]	Bearing fault classification and data augmentation	Results revealed effectiveness of the model in classification due to data augmentation and batch normalization
2020	Raw vibration	GAN + CNN classifier [117]	Bearing fault classification and data augmentation	The two-stage approach yielded promising results in terms of data augmentation and fault classification