基于小波核Logistic模型的运行可靠性评估

Operation Reliability Evaluation Based on Wavelet Kernel Logistic Mode

为了解决深孔加工过程中刀具的磨损状态难以监测及其可靠性评估过程中样本难以获取的情况,提出了一种基于小波核Logistic模型的深孔加工运行可靠性模型。在该方法中,首先,建立了小波核Logistic模型以解决小子样情况下的可靠性评估问题,其次,以刀杆自激振动相对小波能量及从电流信号提取的切削力比为模型输入参数以解决状态难以监测的问题;最后,用一个深孔加工实验对模型进行了验证,结果表明该方法具有一定的实用价值。

In order to overcome the difficulties of monitoring tool wear state in the process of deep hole machining and of acquiring training samples in the process of reliability estimation,a reliability model for deep hole machining based on wavelet kernel Logistic model is proposed. Firstly,a wavelet kernel Logistic mode is proposed to conduct the reliability assessment under small samples; secondly,both the relative wavelet energy around self-excited vibration frequency of the tool bar and the cutting force extracted from the current signal are used as input to solve status monitoring difficulties; finally,the feasibility of the method is verified by a series of deep hole machining experiments.