Method and apparatus for detecting abnormality of manufacturing facility
AssigneeElectronics and Telecommunications Research Institute
InventorsHyun Chul KANG, Ho Jin PARK, Ji Yeon SON, Eun Seo LEE
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AssigneeElectronics and Telecommunications Research Institute
InventorsHyun Chul KANG, Ho Jin PARK, Ji Yeon SON, Eun Seo LEE
Estimating the term…
A method and apparatus for detecting an abnormality of a manufacturing facility is disclosed. According to an example embodiment of the present disclosure, a learning model generating method for manufacturing facility abnormality detection may include receiving a measured value for a normal state of a manufacturing facility collected through a multi-sensor on a time-by-time basis, generating a learning model including a predetermined weight set and training the learning model using the measured value, and determining, 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.
A learning model generating method for detecting an abnormality of a manufacturing facility, the method comprising:
A method of detecting an abnormality of a manufacturing facility, the method comprising:
A manufacturing facility abnormality detection apparatus comprising:
The manufacturing facility abnormality detection apparatus of claim 15, wherein the processor is configured to determine whether the determination criterion of the learning model is satisfied based on a relationship between output values exceeding the threshold during the local window of the learning model.
The manufacturing facility abnormality detection apparatus of claim 15, wherein when the manufacturing facility is determined to be abnormal, the processor is configured to switch a control mode of the manufacturing facility to a server control mode controlled by a server or an Internet of things (IoT) terminal control mode controlled by an IoT terminal that performs a manufacturing facility abnormal detection method, based on predetermined control mode setting information.
The manufacturing facility abnormality detection apparatus of claim 15, wherein when the manufacturing facility is determined to be abnormal, the processor is configured to determine a cause of an occurrence of an abnormality in the manufacturing facility through a comparison between the measured value and the threshold and record information on the cause.
The manufacturing facility abnormality detection apparatus of claim 15, wherein when the manufacturing facility is determined to be abnormal, the processor is configured to report a current state of the manufacturing facility to an operator of the manufacturing facility.
Dependencies are inferred from the claim text.