Error detection method and its system for early detection of errors in a planar or facilities

An error detection method for early detection of errors in a plant or facilities, comprising of steps of:

• acquiring data from a plurality of sensors;
• dividing a trace in a data space into a plurality of clusters over time on the basis of a temporal change of the data;
• wherein a trace in a data space represents the sensor data acquired over a period of time;
• wherein a data space represents attributes of sensor data;
• wherein each cluster corresponds to an operation state of the plant or facilities;
• for each operation state, modeling the corresponding divided clusters by a sub space method;
• and
• displaying the data on a time-series signal to make the divided clusters evident to visualize a state.

An error detection system for early detection of errors in a plant or facilities, comprising:

• a hardware processor;
• a data acquiring unit that acquires data from a plurality of sensors;
• a trace division unit that divides a trace in a data space into a plurality of clusters over time on the basis of a temporal change of the data acquired by the data acquiring unit;
• wherein a trace in a data space represents the sensor data acquired over a period of time;
• wherein a data space represents attributes of sensor data;
• wherein each cluster corresponds to an operation state of the plant or facilities;
• a modeling unit that performs modeling in a sub space on the divided clusters corresponding to each operation state which is divided by the trace division unit;
• and
• an error detection unit that calculates an discrepancy value as an error candidate based on the models of derived clusters which is modeled by the modeling unit.

An error detection system for early detection of errors in a plant or facilities, comprising:

• a hardware processor;
• a data acquiring unit that acquires data from a plurality of sensors;
• a trace division unit that divides a trace in a data space into a plurality of clusters over time on the basis of a temporal change of the data acquired by the data acquiring unit;
• wherein a trace in a data space represents the sensor data acquired over a period of time;
• wherein a data space represents attributes of sensor data;
• wherein each cluster corresponds to an operation state of the plant or facilities;
• a modeling unit that performs modeling in a sub space on the divided clusters corresponding to each operation state which is divided by the trace division unit;
• an error detection unit that calculates an discrepancy value as an error candidate based on the models of derived clusters which is modeled by the modeling unit;
• and
• a data display unit which displays the data on a time-series signal to make the divided clusters which is divided by the trace division unit evident to visualize a state.