Back to results
US 12,189,377 B2Granted
Continous monitoring, advance alerts, and control of key performance indicator variables
AssigneeInternational Business Machines Corporation
InventorsWesley M. Gifford, Dharmashankar Subramanian
Life of this patent
Estimating the term…
Abstract
Embodiments of the invention are directed to collecting, by a computer system, sensor data of a manufacturing system, the sensor data being measured at intervals smaller than a time interval of a target measurement of the manufacturing system. The sensor data is determined to have a relationship to the target measurement. A synthetic target measurement is generated at an interval smaller than the time interval based on the relationship. An advance warning is automatically generated for the target measurement based on the synthetic target measurement within the interval smaller than the time interval.
Claims17
A computer-implemented method comprising:
- collecting, by a computer system, sensor data of a manufacturing system, the sensor data being measured at a plurality of intervals smaller than a time interval “T” of a target measurement of the manufacturing system, wherein the sensor data is determined to have a relationship to the target measurement;
- generating, by the computer system, a synthetic target measurement at a first interval of the plurality of intervals based on the relationship, the first interval being smaller than the time interval “T”, wherein the computer system employs a machine learning model to generate the synthetic target measurement, the machine learning model comprising a neural network trained on training data comprising historical sensor data and historical target measurement data, wherein training the machine learning model comprises fitting a regression model that relates the sensor data being measured at the plurality of intervals to the historical target measurement data at the time interval “T” through unknown intermediate quality results in which the historical target measurement data are based on equal volumes sampled uniformly over time;
- automatically generating, by the computer system, an advance warning for the target measurement based on the synthetic target measurement within the interval smaller than the time interval;
- and
- causing a control system of the manufacturing system to change operation of an actuator in response to the advance warning.
2 more elements
A system comprising:
- a non-transitory memory having computer readable instructions;
- and
- one or more processors for executing the computer readable instructions, the computer readable instructions controlling the one or more processors to perform operations comprising:
- collecting sensor data of a manufacturing system, the sensor data being measured at a plurality of intervals smaller than a time interval “T” of a target measurement of the manufacturing system, wherein the sensor data is determined to have a relationship to the target measurement;
- generating a synthetic target measurement at a first interval of the plurality of intervals based on the relationship, the first interval being smaller than the time interval “T”, wherein the computer system employs a machine learning model to generate the synthetic target measurement, the machine learning model comprising a neural network trained on training data comprising historical sensor data and historical target measurement data, wherein training the machine learning model comprises fitting a regression model that relates the sensor data being measured at the plurality of intervals to the historical target measurement data at the time interval “T” through unknown intermediate quality results in which the historical target measurement data are based on equal volumes sampled uniformly over time;
- automatically generating an advance warning for the target measurement based on the synthetic target measurement within the interval smaller than the time interval;
- and
- causing a control system of the manufacturing system to change operation of an actuator in response to the advance warning.
5 more elements
A computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform operations comprising:
- collecting sensor data of a manufacturing system, the sensor data being measured at a plurality of intervals smaller than a time interval “T” of a target measurement of the manufacturing system, wherein the sensor data is determined to have a relationship to the target measurement;
- generating a synthetic target measurement at a first interval of the plurality of intervals based on the relationship, the first interval being smaller than the time interval “T”, wherein the computer system employs a machine learning model to generate the synthetic target measurement, the machine learning model comprising a neural network trained on training data comprising historical sensor data and historical target measurement data, wherein training the machine learning model comprises fitting a regression model that relates the sensor data being measured at the plurality of intervals to the historical target measurement data at the time interval “T” through unknown intermediate quality results in which the historical target measurement data are based on equal volumes sampled uniformly over time;
- automatically generating an advance warning for the target measurement based on the synthetic target measurement within the interval smaller than the time interval;
- and
- causing a control system of the manufacturing system to change operation of an actuator in response to the advance warning.
2 more elements
Dependencies are inferred from the claim text.