提出基于优化K-最近邻域分类器(K-Nearest Neighbor Classifier,KNNC)的轴承故障模式识别方-proposed K-Nearest Neighbor Classifier（KNNC）， diagnosing method

利用MATLAB计算轴承故障仿真信号功率谱的相关程序。-Correlation program calculation and Simulation of signal power spectrum of bearing fault using MATLAB.

旋转机械轴承故障的仿真信号及其时域波形，频谱情况，有利于观察故障特征-Rotating machinery bearing fault simulation signal and its time-domain waveform, spectrum situation is conducive to observe fault features

该功能主要是计算harmoonic小波变换的旋转设备状态监测的基于振动的轴承故障诊断。-The function basically is for computing Harmoonic wavelet transform for condition Monitoring of rotating equipments by vibration based bearing fault diagnosis.