Bearing Fault Dominant Symptom Parameters Selection Based on Canonical Discriminant Analysis and False Nearest Neighbor Using GA Filtering Signal

<div>(a) Original signal frequency domain; (b) original time signal; (c) GA-filtered frequency domain; and (d) the filtered signal.</div>

Mathematical Problems in Engineering

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Figure 1: Bearing Fault Dominant Symptom Parameters Selection Based on Canonical Discriminant Analysis and False Nearest Neighbor Using GA Filtering Signal 

Figure 1 | Bearing Fault Dominant Symptom Parameters Selection Based on Canonical Discriminant Analysis and False Nearest Neighbor Using GA Filtering Signal 