Reference No. | Method | Testing data size | Classification accuracy (%) |
---|---|---|---|
[85] | Raw Vibration data with entropic features. | 10-fold cross-validation | 98.9 ± 1.2 |
Compressed measurements of 0.5 sampling rate followed by signals recovery. | 92.4 ± 0.5 | ||
Compressed sampled 0.25 sampling rate followed by signals recovery. | 84.6 ± 3.4 | ||
[86] | CS |  | 98.6 ± 0.3 |
CS-PCA | 40% | 98.5 ± 0.4 | |
CS-LDA |  | 89.8 ± 3.5 | |
[87] | FMM-RF (SampEn + PS) | 5-fold cross-validation | 99.81 ± 0.41 |
[88] | SVM | 10-fold cross-validation | 93.5 ± 0.50 |
MLP | 93.7 ± 0.21 | ||
[89] | GP generated feature sets (un-normalised) | 50% | Â |
ANN | 96.5 | ||
SVM | 97.1 | ||
This paper | RGBVI-CNN (Our proposed method) | 50% | 99.8% ± 0.1 |
40% | 99.9% ± 0.1 | ||
30% | 100% ± 0.0 |