Quantification of the Economy of Monitoring System for Helicopter Repairable Parts under Uncertainty
The structural health monitoring system can continuously collect structural information,which helps engineers make appropriate maintenance decisions to ensure structural safety and reduce the risk cost of failure.However,its application in domestic helicopters is still in the preliminary stage.One of the reasons is that there is uncertainty in monitoring information and structural state,which makes it difficult to measure the economic benefits before put into use.Moreover,the system is very expensive,which makes it difficult to determine whether it's worth collecting structural information,thus hindering the application and development of structural health monitoring systems.Therefore,quantifying the economic potential benefits of structural health monitoring under uncertainty is significant to promote the application and development of this technology in domestic helicopters.A method aimed at helicopter repairable parts maintenance was proposed to quantify the value of monitoring information based on Bayesian decision.Vibration monitoring information and Bayesian theory were used to probabilistically characterize and update the structural state,the state probability model,damage cost function.The monitoring uncertainty model were established under uncertainty,implementing its economic quantification.Finally,taking Bell 427 blade maintenance as an example,it quantified the information value of the helicopter blade health monitoring system based on vibration.
value of informationstructural health monitoringeconomy quantificationBayesian decision theorycondition-based maintenance
万方数据
维普
