An Algorithm of Quantum Restricted Boltzmann Machine Network Based on Quantum Gates and Its Application

Table 1

Comparison results of pattern recognition for gear box.

Condition	Algorithms	SNN	SRBM	QRBM^1
Normal condition	Correct number	50	50	50
	Accuracy rate (%)	100	100	100
	Execution time (s)	12.9	8.4	5.8
Gear tooth wear fault	Correct number	48	50	50
	Accuracy rate (%)	96	100	100
	Execution time (s)	13.7	8.9	6.3
Gear root crack fault	Correct number	43	47	49
	Accuracy rate (%)	86	94	98
	Execution time (s)	18.3	9.2	6.7
Gear tooth broken fault	Correct number	45	47	48
	Accuracy rate (%)	90	94	96
	Execution time (s)	15.8	8.1	6.8