Patent ID: 11954131
Assignee: NEC CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A time-series data processing method comprising:
receiving, by a processor, time-series data regarding a manufacturing facility measured by sensors;
identifying, by the processor, a predetermined time width in which the time-series data matches a specified label;
dividing, by the processor, the time-series data in the predetermined time width in which the time-series data matches the specified label by a shorter time width than the predetermined time width to generate a plurality of division time-series data;
classifying, by the processor and using a generator, a state of each of the plurality of division time-series data as anomalous or non-anomalous, by:
calculating a similarity degree between each of the division time-series data and each a plurality of pre-classified division time series data;
assigning the state of each of the division time-series data as anomalous or non-anomalous in accordance with the pre-classified division time series with which the each of the division time-series data has a highest similarity degree; and

for each of the plurality of division time-series data of which the state has been classified as anomalous, determining, by the processor, that the manufacturing facility is in an anomalous state in a corresponding time width,
wherein division of the time-series data to generate the plurality of division time-series data provides for increased accuracy in detecting that the manufacturing facility is in the anomalous state.