CPC G05B 19/4063 (2013.01) [G05B 19/4183 (2013.01); G05B 19/4184 (2013.01); G05B 19/4185 (2013.01); G05B 19/41865 (2013.01); G06F 18/214 (2023.01); G06N 20/00 (2019.01)] | 13 Claims |
1. A computer program product embodied on a non-transitory computer-readable medium, the computer program product comprising software code portions being configured, when run on a processor, to perform a method of a learning model generating for detecting an abnormality of a manufacturing facility, the method comprising:
receiving, via the processor connected to a multi-sensor, a measured value for a normal state of a manufacturing facility collected through the multi-sensor on a time-by-time basis;
generating, via the processor, a learning model including a predetermined weight set and training the learning model using the measured value;
determining, via the processor, using the learning model, a threshold corresponding to a boundary between the normal state and an abnormal state of the manufacturing facility and a criterion for determining the abnormal state in a local window representing a predetermined time interval; and
removing a direction component of the received measured value to use the measured value for training of the learning model.
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