Training apparatus, training method, diagnosis apparatus for diagnosing equipment anomaly based on vibration signal of time domain, and abnormality diagnosis method

An abnormality diagnosis apparatus for diagnosing an anomaly of equipment using a signal reconstruction model, the abnormality diagnosis apparatus comprising:

• a processor;
• and
• a memory configured to store instructions executable by the processor,
• wherein the instructions, when executed by the processor, cause the training apparatus to:
• obtain a vibration signal of a time domain obtained by measuring a vibration that occurs in equipment through a vibration sensor;
• obtain a vibration signal for each frequency band filtered according to each defined frequency band by inputting the vibration signal to at least one filter;
• obtain reconstruction signals corresponding to each defined frequency band from each signal reconstruction model by inputting the vibration signal for each frequency band to the signal reconstruction model corresponding to a frequency band;
• determine a reconstruction error value showing a difference between the vibration signal for each frequency band and the reconstruction signal corresponding to each frequency band;
• and
• determine the anomaly of the equipment based on an error value determined for each defined frequency band and a threshold value determined for each defined frequency band.

A training method of training a signal reconstruction model by a training apparatus, the training method comprising:

• obtaining a vibration signal of a time domain obtained by measuring a vibration that occurs when equipment is operating normally through a vibration sensor;
• obtaining a vibration signal for each frequency band filtered according to defined frequency bands by inputting the vibration signal to at least one filter;
• training a signal reconstruction model corresponding to each of the defined frequency bands using the vibration signal for each frequency band;
• obtaining a reconstruction signal corresponding to each frequency band through the trained signal reconstruction model for each frequency band;
• determining a reconstruction error value showing a difference between the vibration signal for each frequency band and the reconstruction signal corresponding to each frequency band;
• and
• determining a threshold value for anomaly detection corresponding to each of the defined frequency bands based on the reconstruction error value determined for each of the defined frequency bands.

An abnormality diagnosis method of diagnosing an anomaly of equipment performed by an abnormality diagnosis apparatus, the abnormality diagnosis method comprising:

• obtaining a vibration signal of a time domain obtained by measuring a vibration that occurs in the equipment through a vibration sensor;
• obtaining a vibration signal for each frequency band filtered according to the frequency band by inputting the vibration signal to at least one filter;
• obtaining reconstruction signals corresponding to each defined frequency band from each signal reconstruction model by inputting the vibration signal for each frequency band to the signal reconstruction model corresponding to a frequency band;
• determining a reconstruction error value showing a difference between the vibration signal for each frequency band and the reconstruction signal corresponding to each frequency band;
• and
• determining the anomaly of the equipment based on an error value determined for each frequency band and a threshold value determined for each frequency band.