PCA-Based Bearing Fault Diagnosis Program
A PCA bearing fault diagnosis program complete with sample datasets and execution results demonstrating fault detection capabilities through dimensionality reduction and pattern recognition techniques.
Explore MATLAB source code curated for "轴承故障" with clean implementations, documentation, and examples.
A PCA bearing fault diagnosis program complete with sample datasets and execution results demonstrating fault detection capabilities through dimensionality reduction and pattern recognition techniques.
A MATLAB wavelet analysis program for bearing fault vibration signals, capable of extracting fault characteristic frequencies using multi-resolution analysis and time-frequency decomposition techniques.
Using MATLAB to simulate bearing fault signals by constructing bearing fault simulation signals, where the bearing's natural frequency fn=3000Hz, displacement constant y0=5, damping coefficient ξ=0.1, impact fault occurrence period=0.01s, sampling frequency fs=20kHz, and number of sampling points N=4096. Requirements: Construct bearing fault simulation signals based on the above conditions, plot their time-domain waveform and frequency spectrum diagram.