Exploratory analysis: Principal Component Analysis (PCA)

PCA of the three phase current signatures (i_a, i_b, and i_c)

2D plots and 3D plots















 Pareto Charts









15 Statistical Features (SF) calculated on the Parks quantity (id and iq), then perform PCA gives the 2D and 3D plots shown below:

2D PCA Plots

                                                                                                            
(a)                                                           (b)                                                                         (c)

Figure 1: 2D PCA plots of the healthy and faulty IM with different fault severity, at varying loads; (a) No load (b) 75% load and (c) 100%.

3D PCA Plots

(a)                                                            (b)                                                               (c)

Figure 2: 3D PCA plots of the healthy and faulty IM with different fault severity, at varying loads; (a) No load (b) 75% load and (c) 100%.

 Pareto Charts


                   (a)                                                         (b)                                                               (c)

Figure 3: Pareto chart, at varying loads; (a) No load (b) 75% load and (c) 100%. 



15 Statistical Features (SF) calculated on the Extended Park quantity (ip), then perform PCA gives the 2D and 3D plots shown below:

2D PCA Plots

No load 


75% load 


100% load 

3D PCA Plots

No load



75% load


100%


Pareto Charts

No load


50% load


100% load






















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