A CBA-KELM-Based Recognition Method for Fault Diagnosis of Wind Turbines with Time-Domain Analysis and Multisensor Data Fusion

Table 1

Description of the dataset.

Faulty component	Rotating speed (rpm)	Fault type	Load (hp)	Label of classification
Gear	1470, 880, 825, 849	Pitting tooth	0, 0, 0.14, 0.07	1
Gear		Worn tooth
Gear	1500, 880, 834, 850	Pitting tooth	0, 0, 0.14, 0.07	2
Gear	1470, 878, 840, 860	Tooth fracture	0, 0, 0.14, 0.07	3
Gear	1478, 881, 830, 854	Worn tooth	0, 0, 0.14, 0.07	4
Normal	1475, 880, 800, 820	Normal	0, 0, 0.14, 0.07	5
Gear	1474, 878, 812, 842	Tooth fracture	0, 0, 0.14, 0.07	6
Gear		Worn tooth