Process and statistical analysis of interval censored data in HPM effect experiment

The interval censored data(ICD) are often acquired by HPM effect experiment. These data must be processed to reasonably analyze microwave effect. Based on interpolation concept, two processing methods are established by using interval censored data information and the failure mechanism and experimental phenomenon of HPM effect. By theory analysis, the second order method is better than the first order method in interval. Based on given ICD, the processed data of those methods are not significantly different in statistics, and can be applied to studying the HPM effect.