Intelligent Fault Severity Detection of Rotating Machines Based on VMD-WVD and Parameter-Optimized DBN
Table 1
The basic architecture of SSA.
Sparrow search algorithm
Input: the maximum iterations: ; the number of producers: ; the number of sparrows who perceive the danger: ; the alarm value: ; the number of sparrows: .
Initialize a population of n sparrows and define its relevant parameters.
Output: the global optimal location: ; the global best fitness values: .
Algorithm:
1: while (t < )
2: Rank the fitness values and find the current best individual and the current worst individual.
3:
4: for i = 1:
5: Using equation (10) update the location of the producers;
6: end for 7: For i = 1:
8: Using equation (11) update the location of the scroungers;
9: end for 10: For = 1:
11: Using equation (12) update the location of the sparrows with alert capability;
12: End for 13: get the new location;
14: If the new location is better than before, update it;
