State detection system, state detection method, and computer readable medium
AssigneeMitsubishi Electric Corporation
InventorDaiki NAKAHARA
Life of this patent
Estimating the term…
Abstract
A collection unit (111) collects collected data of a plurality of signals in a facility in chronological order. A division unit (112) divides the collected data in chronological order into a plurality of groups so as to generate collected divided data for each group. A learning unit (113) performs machine learning for each group, using the collected divided data as learning data, so as to generate a normal model, which is a learned model, for each group. A state detection unit detects a state of the facility, using the normal model of each group.
Claims16
A state detection system to detect a state of a facility in which a workpiece is moved in a flow, the state detection system comprising
- processing circuitry to:
- collect, in chronological order, collected data that indicates a plurality of signal values of a plurality of signals that react in sequence according to the flow of the workpiece,
- divide a set of the plurality of signal values included in the collected data in chronological order into a plurality of signal groups that depend on a position of the workpiece, so as to generate, for each group, collected divided data that indicates one or more signal values in each group in chronological order,
- perform machine learning for each group, using the collected divided data as learning data, so as to generate a normal model, which is a learned model, for each group, and
- detect a state of the facility, using the normal model of each group.
A state detection method for detecting a state of a facility in which a workpiece is moved in a flow, the state detection method comprising:
- collecting, in chronological order, collected data that indicates a plurality of signal values of a plurality of signals that react in sequence according to the flow of the workpiece;
- dividing a set of the plurality of signal values included in the collected data in chronological order into a plurality of signal groups that depend on a position of the workpiece, so as to generate, for each group, collected divided data that indicates one or more signal values in each group in chronological order;
- performing machine learning for each group, using the collected divided data as learning data, so as to generate a normal model, which is a learned model, for each group;
- and
- detecting a state of the facility, using the normal model of each group.
A non-transitory computer readable medium storing a state detection program to detect a state of a facility in which a workpiece is moved in a flow, the state detection program causing a computer to execute:
- a collection process of collecting, in chronological order, collected data that indicates a plurality of signal values of a plurality of signals that react in sequence according to the flow of the workpiece;
- a division process of dividing a set of the plurality of signal values included in the collected data in chronological order into a plurality of signal groups that depend on a position of the workpiece, so as to generate, for each group, collected divided data that indicates one or more signal values in each group in chronological order;
- a learning process of performing machine learning for each group, using the collected divided data as learning data, so as to generate a normal model, which is a learned model, for each group;
- and
- a state detection process of detecting a state of the facility, using the normal model of each group.
Dependencies are inferred from the claim text.