Practical Routine for Two-Dimensional Holographic Spectrum Calculation in Rotating Machinery

Fault diagnosis in rotating machinery is crucial for ensuring the safe operation of mechanical equipment. To improve the reliability of rotating machinery fault diagnosis, two-dimensional holographic spectrum technology has been developed. This technique, based on multi-point information acquisition from vibration sensors, enables comprehensive monitoring and analysis of mechanical equipment through advanced signal processing algorithms. The implementation typically involves Fast Fourier Transform (FFT) processing of synchronized multi-channel data, followed by spectrum synthesis to create holistic vibration profiles. The application of holographic spectrum technology helps engineers quickly and accurately locate the source of rotating machinery faults through pattern recognition algorithms, and provides more precise maintenance recommendations. This approach reduces fault repair costs and improves the operational efficiency of mechanical equipment by enabling predictive maintenance strategies.