Noise point fault diagnosis method and fault diagnosis system

A fault diagnosis system, comprising:

• an input unit configured to receive:
• a first vibration signal measured at a noise point at a first time, wherein the first vibration signal is generated at the noise point,
• a second vibration signal measured at a sound point at the first time, wherein the second vibration signal is based on propagation of the first vibration signal from the noise point to the sound point, and
• a target vibration signal measured at the sound point at a second time;
• a prediction model training unit configured to, via deep learning, generate and train a noise prediction model configured to generate, based on frequency data indicating a vibration at the sound point, frequency data indicating a vibration at the noise point;
• and
• a controller configured to:
• provide noise point data and sound point data to the prediction model training unit, wherein the noise point data is generated by converting the first vibration signal into a frequency domain and the sound point data is generated by converting the second vibration signal into the frequency domain;
• receive the trained noise prediction model;
• predict, based on the trained noise prediction model and on target sound point data generated by converting the target vibration signal into a frequency domain, target noise point data indicating a vibration at the noise point at the second time;
• and
• diagnose, based on the target noise point data, a fault at the noise point.