Leakage Fault Diagnosis of Lifting and Lowering Hydraulic System of Wing-Assisted Ships Based on WPT-SVM

Wing-assisted technology is an effective way to reduce emissions and promote the decarbonization of shipping industry. The lifting lowering wing-sail usually driven by hydraulic system. Leakage, as important failure form, directly affects safety well functioning To increase system reliability improve wing-assisted effect, it essential conduct leakage fault diagnosis In this paper, AMESim simulation model a Very Large Crude Carrier (VLCC) established analyze operation characteristics effectiveness verified data actual On basis, wavelet packet transform (WPT)-based sensitive feature extracting method for proposed. Subsequently, support vector machine (SVM)-based multi-classification are study results show that proposed has accuracy high 97.5% six modes. It great significance ensuring improving utilization rate offshore wind resources.