The operating stability of the drive system of industrial robots directly affects the efficiency of use,and then saves industrial costs.The random mapping algorithm is used to realize the fault and achieve the dimensionality reduction of multi-source information.After considering the classification according to SVM method,the corresponding experimental scheme is designed.It is proved that the above method meets the practical feasibility.The results show that when the number of samples reaches 800～2 100,the ideal fault diagnosis results can be obtained.The vibration signal fusion can obtain higher diagnostic accuracy than the Z direction,and obtain more accurate prediction results,with an accuracy of 99.89％.This research has a good theoretical support for improving the operational stability of industrial robot drive system and is easy to be popularized.
industrial robotdrive shaftvibration signalsupport vector machinemulti-source information fusion
万方数据
维普
