Training device, training method, and device and method of diagnosing anomaly of equipment using signal reconstruction model

A failure diagnosis device for diagnosing an anomaly of equipment using a signal reconstruction model, the failure diagnosis device comprising:

• a memory configured to store instructions executable by a processor;
• and
• a processor,
• wherein the processor is configured to:
• obtain a vibration frequency signal that measures vibration occurring in equipment through a vibration sensor,
• obtain a reconstructed signal corresponding to the vibration frequency signal from a trained signal reconstruction model by inputting the vibration frequency signal to the signal reconstruction model,
• determine a reconstruction error value representing a signal difference between the vibration frequency signal and the reconstructed signal for each predefined frequency band, and
• determine whether the equipment is abnormal based on the reconstruction error value determined for each frequency band and a threshold value determined for each frequency band.

A failure diagnosis method performed by a failure diagnosis device for diagnosing an anomaly of equipment using a signal reconstruction model, the failure diagnosis method comprising:

• obtaining a vibration frequency signal that measures vibration occurring in equipment through a vibration sensor;
• obtaining a reconstructed signal corresponding to the vibration frequency signal from a trained signal reconstruction model by inputting the vibration frequency signal to the signal reconstruction model;
• determining a reconstruction error value representing a signal difference between the vibration frequency signal and the reconstructed signal for each predefined frequency band;
• and
• determining whether the equipment is abnormal based on reconstruction error values determined for each frequency band and a threshold value determined for each frequency band.