Feature Extraction Based on Adaptive Multiwavelets and LTSA for Rotating Machinery Fault Diagnosis

Table 1

Settings of the parameters used for rotating machinery platform experiment.

Parameters	Values
Decomposition level, n	3
Adaptive parameters, a, b, c, d, f	[−10, 10] except 0
Neighborhood sample number, k	Integer within [3, 16]
Lower dimensionality, d	Integer within [2, 6]
Population scale in GA	30
Evolution generation in GA	60
Probability of crossover in GA	0.7
Probability of mutation in GA	0.02