Bearing Fault Simulation Program with MATLAB Implementation

A Bearing Fault Simulation Program is a specialized tool designed for studying and analyzing the dynamic responses of bearings under different fault conditions. Typically developed on the MATLAB platform, this program simulates vibration signal characteristics when faults occur in the inner race, outer race, or rolling elements of bearings.

As critical components in mechanical equipment, bearing operational conditions directly impact system reliability. The simulation program employs mathematical models and algorithms to replicate vibration characteristics during bearing failures, enabling engineers and researchers to develop and validate fault diagnosis methodologies through code-based experimentation.

The core implementation approach involves establishing bearing dynamic models that account for periodic impact effects at fault locations. For inner race faults, vibration signals exhibit characteristic frequencies related to bearing rotation speed, typically calculated using the Ball Pass Frequency Inner Race (BPFI) formula in MATLAB code. Outer race faults generate fixed-frequency vibrations, determined by the Ball Pass Frequency Outer Race (BPFO) algorithm, while rolling element faults produce distinct signal patterns based on Ball Spin Frequency (BSF) calculations.

The program's value lies in its ability to generate diverse fault-condition data samples cost-effectively and efficiently, providing training and testing datasets for developing intelligent diagnostic algorithms. Compared to physical experimental data acquisition, the simulation approach offers advantages including adjustable parameters and controllable scenarios through MATLAB's scripting interface, allowing systematic variation of fault sizes, load conditions, and rotational speeds for comprehensive analysis.