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

Claim 3:
4. A non-transitory computer readable storage medium that stores instructions for
training a learning network to diagnose anomalies in plant equipment, the instructions when executed by a processor cause the processor to execute a method, the method comprising:
receiving operating data from sensors that monitor the plant equipment
storing the operating data and a time when the operating data was collected by the sensors in a first database;
forming filtered data by excluding abnormal values from the operating data;
training an electric characteristics learning unit using a first subset of the filtered data to generate first weighting factors;
training a vibratory characteristics learning unit using a second subset of the filtered data to generate second weighting factors;
training a thermal characteristics learning unit using a third subset of the filtered data to generate third weighting factors;
storing the first weighting factors, the second weighting factors and the third weighting factors in a second database;
creating a model for nominal operation using the first weighting factors, the second weighting factors and the third weighting factors that are stored in the second database;
receiving additional data from the sensors that monitor the plant equipment; and
diagnosing the anomalies in the plant equipment by inputting the additional data into the model for nominal operated created.