By simulating the abnormal clearance of the diesel engine valves, some vibration signals are collected, and the time series analysis is used to analyze these signals, some sensitive parameters of the different valve clearance are selected. At last, based on these parameters, neural networks are used to identify the fault model of the valve clearance. The analysis conclusion indicated that better identification effect can be reached by integrating the two methods.