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在模式集难以预先设定，但监测时只提供运行工况是否正常信息的前提下，尝试运用分形理论中的关联维（ＧＰ法关联指数）计算方法和模糊聚类原理，对内燃机故障样本进行识别．将以上两法应用于由１９０Ａ内燃机机身处测得的不同活塞裙部－缸套间隙的振动加速度样本群，和由４１３５Ｇ内燃机机身处测得的不同气环状况的振动加速度样本群，表明了所述方法是实用和有效的．同时也表明由活塞－活塞环－缸套－机身所构成的系统是非线性动力学系统．
In the mode set is difficult to set in advance, but only provide information on whether the operating conditions are normal during monitoring, try to use the method of fractal theory (GP method) and fuzzy clustering theory to diagnose internal combustion engine failure samples Recognize. The above two methods were applied to the vibration acceleration sample groups of different piston skirt-cylinder liner clearance measured at 190A internal combustion engine fuselage and the vibration acceleration sample groups of different gas ring conditions measured at 4135G internal combustion engine fuselage, indicating The method is practical and efficient. It also shows that the system composed of piston-piston ring-cylinder liner-fuselage is a nonlinear dynamic system.