Research Article
Feature Extraction and Selection Scheme for Intelligent Engine Fault Diagnosis Based on 2DNMF, Mutual Information, and NSGA-II
Table 2
Parameters of NSGA-II for feature selection.
| Parameters of NSGA-II | Parameter settings |
| Population size | 200 | Generation | 60 | Crossover probability | 0.8 | Mutation probability | 0.01 | Crossover method | Binary crossover | Mutation method | Binary mutation | Selection method | Tournament selection |
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