Optimal Layout And Simulation Of Sensors For Slack Wire Compensator Hydraulic System

As a deep sea sampling instrument retracting device,the deep sea scientific research winch is an indispensable equipment in the course of deep sea scientific investigation.The slack wire compensator is used as a device for controlling the cable tension of the scientific research vessel winch system.The slack wire compensator eliminates the impact load of the synthetic fiber cable and prevents the synthetic fiber cable from premature failure due to fatigue wear by controlling the cable tension.Thereby ensuring the safety of the slack wire compensator hydraulic system,determining the fault location in time when the fault occurs is crucial for the deep sea scientific research winch.In actual engineering,condition monitoring is used to reflect the status of the hydraulic system in real time to ensure that the hydraulic system is working properly.The implementation of condition monitoring relies on the sensor's measurement of hydraulic system parameters.If the type and quantity of sensors are small,real-time monitoring of each component will not be possible;and if the type and quantity of sensors are too large,it will affect the monitoring state of the system and result in high sensor cost Therefore,under the premise of using the type and quantity of sensors as little as possible,it is necessary to realize the condition monitoring of the hydraulic system and diagnose the fault of the hydraulic system quickly.In this paper,the hydraulic system of slack wire compensator is taken as the research object to carry out potential failure analysis.With the purpose of fault diagnosis,all the monitoring points and sensor types required for fault diagnosis are obtained.Thereby the initial monitoring point and sensor arrangement are determined.Then,based on the working principle of the slack wire compensator hydraulic system,a graph of the hydraulic system is established.According to the graph,the correlation between the fault propagation path and the correlation model of failures-monitoring points are analyzed to establish a "fault-monitoring point" matrix model.Then,based on the maximum fault diagnosis information entropy criterion,the optimal layout scheme of the sensor gets from the initial scheme of the slack wire compensator hydraulic system for condition monitoring.The multiple optimal diagnosis scheme for sensors obtained by the maximum fault diagnosis information entropy is used to optimize by the fault diagnosis time.Finally,a simulation model of the slack wire compensator hydraulic system is established by AMESim software.The fault injection method is used to simulate the blockage of the throttle in the throttle valve and the failure of the hydraulic pump flow.Through the analysis of the simulation results,the effect of fault diagnosis in the optimal layout of the sensor is verified.Based on the optimization of the maximum fault diagnosis information entropy and fault diagnosis time,the optimal layout scheme of the sensor is obtained.Compared with the initial solution,the sensor layout not only achieves quantitative optimization,but also significantly shortens the time for fault diagnosis.The AMESim simulation software verifies that the Optimal Layout of the sensor has the effect of fault diagnosis,and can realize the status monitoring and fault diagnosis function of the slack wire compensator hydraulic system.