Research Article
Fault Diagnosis of a Hydraulic Pump Based on the CEEMD-STFT Time-Frequency Entropy Method and Multiclass SVM Classifier
Table 1
Six-dimensional fault features.
| | Fault pattern | No. | Feature 1 | Feature 2 | Feature 3 | Feature 4 | Feature 5 | Feature 6 |
| | Normal | 1 | 4.9681 | 3.9921 | 4.0155 | 3.6082 | 3.2670 | 2.6576 | | 2 | 4.9732 | 3.9936 | 4.0145 | 3.6031 | 3.2395 | 2.6541 | | ⋯ | | | | | | | | 20 | 4.7565 | 3.9406 | 4.1075 | 3.6274 | 3.3763 | 2.6567 |
| | Rotor wear | 21 | 3.8933 | 4.2478 | 3.5822 | 3.7066 | 3.2937 | 2.5966 | | 22 | 3.8923 | 4.1903 | 3.5846 | 3.7407 | 3.2990 | 2.5675 | | ⋯ | | | | | | | | 40 | 3.8991 | 3.9456 | 3.5417 | 3.6743 | 3.3190 | 2.5426 |
| | Swash plate wear | 41 | 4.1123 | 3.4824 | 3.4975 | 3.6294 | 3.2926 | 2.5332 | | 42 | 4.1285 | 3.4886 | 3.5151 | 3.6196 | 3.3310 | 2.5820 | | ⋯ | | | | | | | | 60 | 4.1782 | 3.4949 | 3.5132 | 3.5932 | 3.3496 | 2.6182 |
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