Reliability Analysis Method for Key Components of High-Speed Metro
Compared with regular metro vehicles,high-speed metro vehicles running in urban areas have the characteristics of higher running speed,longer station spacing,and faster cumulative mileage growth,and the failure characteristics of their key components are also different.The failure data characteristics of key components of high-speed metro vehicles are analyzed to study the reliability analysis method for the key components.Firstly,the average failure rate per million kilometers of each failure point is calculated and taken as the reliability characteristic quantity.Secondly,regression analysis and curve fitting methods are used to compare the goodness of curve fitting,and further the parameters of the fitted curve are estimated to determine the potential functional relationship between the average failure rate of million kilometers and the operating mileage.Finally,the reliability of key component failure points at a certain mileage is obtained through numerical inverse solution.A case study are conducted on the failure data from a specific type of metro vehicle,which shows that the reliability curve obtained by using the average failure rate of millions of kilometers as the reliability characteristic quantity combined with regression analysis and curve fitting can effectively describe the relationship between the reliability of key components and the operating mileage.
metro vehiclereliability analysisregression analysiscurve fitting
NETL
NSTL
万方数据
