Research on Reliability Modeling and Evaluation of Electronic Control System of CNC Grinder
As one of the key subsystems of CNC grinding machine,the reliability modeling and evaluation of electronic control system has not been carried out.In this paper,the fault data of MKS CNC grinder electric control system provided by Beijing No.2 machine tool works are preprocessed,and the probability density scatter diagram is drawn.It is found that the image trend con-forms to Weibull distribution or exponential distribution.Then,the least square method is used for parameter estimation.After model verification,the grey correlation degree is introduced for model optimization,and the distribution model of electric control system fault data is determined as exponential distribution model.Finally,the mean time between failures(MTBF),mean main-tenance time(MTTR)and inherent availability(Ainh)of the electronic control system are calculated.The evaluation results have been fed back to the manufacturer and approved,which is of great significance to improve the reliability level of CNCgrinder.
CNC GrinderElectronic Control SystemReliability ModelingParameter EstimationGrey Correl-ation Degree
NETL
NSTL
万方数据
