Fault Detection Method for Control Loop of Water Jet Propulsion Device Based on Random Forest
In order to timely and accurately detect faults in the water jet propulsion system and improve its operational safety,a data-driven fault detection method is proposed.Random forest is introduced into the field of water jet propulsion device fault detection to solve the problem of lack of automation and intelligent means in current closed-loop control circuit fault detection.The feature importance measurement strategy is adopted to evaluate the feature parameters used to construct the random forest model,reduce the feature parameter dimensionality while meeting the requirements for fault detection accuracy,and improve the real-time performance of fault detection.Based on the grid search mechanism,the hyper parameters of random forests are optimized,and the accuracy of fault detection is improved.The effectiveness of the proposed method is comprehensively verified by simulation experiments based on AMESim and physical experiments based on NI CompactRIO.The experimental results indicate that the proposed method can effectively improve the reliability of waterjet propulsion devices and has strong engineering value.
random forestwater jet propulsion devicecontrol loopsafetyfault detection
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