Patent ID: 11886831
Assignee: MITSUBISHI ELECTRIC CORPORATION
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 6:
7. A system for
training a learning network to diagnose anomalies in plant equipment, comprising:
sensors that monitor the plant equipment;
an operating data database that stores operating data collected by the sensors and a time when the operating data was collected by the sensors
a normal-value data database; and
a computer that is communicatively coupled to the sensors, the operating data database and the normal-value data database, wherein the computer is configured to:
retrieve the operating data from the operating data database,
form filtered data by excluding abnormal values from the operating data,
trains an electric characteristics learning unit using a first subset of the filtered data to generate first weighting factors,
trains a vibratory characteristics learning unit using a second subset of the filtered data to generate second weighting factors,
trains a thermal characteristics learning unit using a third subset of the filtered data to generate third weighting factors,
stores the first weighting factors, the second weighting factors and the third weighting factors in the normal-value data database,
creates a model for nominal operation using the first weighting factors, the second weighting factors and the third weighting factors that are stored in the normal-value data database;
receives additional data from the sensors that monitor the plant equipment; and
diagnose the anomalies in the plant equipment by inputting the additional data into the model for nominal operated created.