Simulated Fault Signals for 6205 Rolling Bearing Inner Race Defects

Rolling bearings serve as critical components in mechanical equipment, where their health condition directly impacts operational safety. Inner race defects in 6205 model bearings represent one of the common failure modes, and corresponding fault signals can be generated through simulation techniques.

During fault signal simulation, key factors include bearing geometric parameters, rotational speed, and fault characteristic frequencies. Inner race defects produce periodic impulse vibration signals, whose frequency components are determined by bearing rotational frequency and fault characteristic frequency. Typical simulation approaches model the impact response when the defect point contacts rolling elements, while accounting for signal transmission path effects. Code implementation often involves calculating fault frequencies using bearing geometry formulas and synthesizing signals with amplitude modulation to simulate realistic vibration patterns.

Simulated signals typically contain high-frequency resonance components and low-frequency modulation phenomena, providing essential data foundations for subsequent fault diagnosis algorithm development. Researchers can utilize these simulated signals to validate feature extraction method effectiveness or train intelligent diagnosis models. Compared to measured data, simulated signals offer advantages in precise control over defect types and severity levels, facilitating systematic studies of fault evolution patterns. Implementation typically involves MATLAB or Python scripts with functions for signal generation, frequency analysis, and noise injection to create realistic datasets.