Key Quality Characteristics Identification Method for Mechanical Product

All quality characteristics(QCs) need to be constantly tested in the process of mechanical parts machining. The efficiency is low and the cost is high. Therefore, the key quality characteristics(KQCs) identification is helpful for narrowing the scope of inspection and improving the detection efficiency. Aiming at this problem, this paper puts forward Mahalanobis-Taguchi System(MTS) method based on ReliefF algorithm. The main steps are as follows: (1)calculate the weigh of each characteristics by applying ReliefF algorithm, and then eliminate irrelevant quality characteristics (2)find out mechanical parts' final KQCs by using the orthogonal table and Signal/Noise Ratio(SNR) of MTS. Finally, the paper introduces the application of this method by setting a mechanical shaft as an example. The example shows that the method can improve the efficiency of the identification of mechanical parts quality characteristics.