Fault diagnosis for a car engine based on support vector machine

The study was to obtain vibration signals and BDC signals on cylinder head surfaces without disassembling a car engine,then the energy of vibration signals in time domain was divided in to segments reasonably according to the crankshaft rotating period,and the energy in time domain of each segment was extracted as the state characteristic values of the engine cylinders.The training sets of the engine cylinders with different fault states were established.The support vector machine method was adopted to realize engine fault diagnosis and recognition.The results showed that the proposed method is helpful for diagnosis of engine fault type and fault location.