rbf_atrifical_neual_networks

说明：  基于振动信号的滚动轴承故障诊断的方法研究.nh(Based on the vibration signals of rolling bearing fault diagnosis method. Nh)

关于编码以及信道研究的程序，希望对大家有用(Coding and channel on the research process, we hope to be useful)

An extended Kalman filter (EKF) is employed to estimate the motor state variables by only using measurements of the stator fine voltages and currents. When applying the EKF, it was necessary to solve some specific problems related to the voltage and current waveforms of the BLDCM

the fuzzy control to solve the main problem about how to handle the systems

说明：  matlab在电力系统中的应用，基于UPFC仿真程序(matlab in power system applications, based on UPFC simulation program)

Matlab M-Files:There are four ways of doing code in Matlab. One can directly enter code in a terminal window. This amounts to using Matlabas a kind of calculator, and it is good for simple, low-level work. The second method is to create a script M-fi le. Here, one makes a fi le with the same code one would enter in a terminal window. When the fi le is “run”, the script is carried out. The third method is the function M-fi le. This method actually creates a function, with inputs and outputs. The fourth method will not be discussed here. It is a way to incorporate C code or FORTRAN code into Matlab this method uses .mex fi les. We will not disucss it here.

图像中值滤波的改进算法 频域中的图像去噪算法 matlab实验(matlab experiments )

Reinforcement Learning 中以 Q learning 學習的倒單擺實驗。以x,x_dot,theta,theta_dot作為狀態參數 state，利用model模擬之結果做Q值更新，產生Q table，對學習平衡控制。結果以csv檔作為輸出，可以由使用者作圖觀察變化。(Reinforcement Learning , utilize Q learning for An inverted pendulum system control。x,x_dot,theta,theta_dot as state variable，use model result renew Q table，control learning of balance pole 。output csv file contain trail(times),balance time(sec).it s better observe the change if user plot it. )

my_seg_for_post_filtering_it is used for segmentation

该程序实现了基于小波模极大值，阈值去噪算法，并比较了各种方法的去噪效果。(The program achieved a de-noising based on wavelet modulus maxima algorithm, and effectively removes the signal in Gaussian white noise.)