Research Article
Fault Diagnosis Method of the Construction Machinery Hydraulic System Based on Artificial Intelligence Dynamic Monitoring
Table 1
Characteristic parameters of hydraulic vibration signals.
| ā | Xmax | Xff | Xms | Sf | Cf | If | CLf | |
| Normal | 0.6402 | 0.7153 | 0.6287 | 0.4326 | 0.6482 | 0.6447 | 0.64471 | 0.4960 | Loose ball head | 0.4034 | 0.3758 | 0.3674 | 0.3377 | 0.4320 | 0.4181 | 0.4193 | 0.4617 | Worn flow plate | 0.3373 | 0.3886 | 0.6298 | 0.6240 | 0.3280 | 0.3096 | 0.3121 | 0.3478 | Loose boot failure | 0.4457 | 0.3914 | 0.6147 | 0.6140 | 0.4004 | 0.4662 | 0.4654 | 0.3633 | Cylinder wear | 0.5444 | 0.6166 | 0.4797 | 0.4546 | 0.3768 | 0.4488 | 0.4415 | 0.5101 | Cylinder wear | 0.4418 | 0.5355 | 0.3074 | 0.2877 | 0.5215 | 0.4776 | 0.4758 | 0.7458 | Leakage | 0.5526 | 0.4656 | 0.4630 | 0.4685 | 0.5285 | 0.5818 | 0.5867 | 0.4351 |
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