Systems and methods of monitoring a production level of a vibratory feeder configured to process a workpiece are described herein. The methods include operating a processor to: receive device data associated with the vibratory feeder during operation of the vibratory feeder, the device data comprising at least one input state of the vibratory feeder; receive production data associated with the vibratory feeder, the production data being representative of a production level of the vibratory feeder; determine, based on the device data and/or the production data, one or more faults corresponding to the vibratory feeder when the production level falls below a threshold production level; and determine, based on the one or more faults, a corrective action to return the production level to or above the threshold production level.

According to the present disclosure, a method of extracting a feature of measurement data using a computing apparatus may include identifying measurement data obtained during a process, identifying target data related to the measurement data, performing a computation on the measurement data based on the target data, extracting a plurality of first values by applying a max pooling layer to the computed measurement data, extracting a plurality of second values by applying a min pooling layer to the computed measurement data, and extracting a plurality of third values related to a feature of the measurement data using the plurality of first values and the plurality of second values.

A method for controlling a production process for components, wherein the components or a production device used for producing the components have or has features which are metrologically detectable. The method comprising specifying a test plan for detecting primary feature(s) and secondary feature(s) by tests, wherein the primary feature(s) is/are measured at a first test frequency and the secondary feature(s) is/are measured at a second test frequency, wherein at least one stability criterion is defined for the primary feature(s); producing the components and carrying out the test plan for producing test results in parallel, wherein solely the primary feature(s) is/are tested at the first test frequency; evaluating the determined test results; and, if at least one test result for the primary feature(s) violates the stability criterion, continuing the carrying out of the test plan, wherein at least a secondary feature is tested.

A process control monitoring system for a process control plant uses graphic trend symbols to assist in detecting and monitoring trends of process variables within the process control plant. A graphic display application within the process control monitoring system may implement and display each graphic trend symbol to graphically indicate or encapsulate current trend and value information of a process variable within the process control plant. The graphic display application may display the graphic trend symbol in a spatially realistic location within a graphical representation of the process control plant while maintaining the hierarchical structure or each hierarchical level of the process plant. The graphic display application may also include a navigation pane and a zoom feature that enable a user to quickly drill down through tend data to obtain more information and to support problem identification and diagnosis tasks.

A method for generating closed-loop control parameters of a closed-loop control for a control system of a technical system includes continuous determination of trend data of the closed-loop control during runtime of the technical system by means of the control system, continuous checking of the trend data to determine whether at least one specific trigger criterion has been met, transmitting the trend data of the closed-loop control to a controller optimization module in the event the specific trigger criterion is met, generating revised closed-loop control parameters by the controller optimization module, and transmitting the closed-loop control parameters generated by the controller optimization module to the control system.

A data processing device according to one aspect of the present invention includes an extractor configured to extract time-series data indicating observed values at points in time in an analysis range from a first point in time to a second point in time, and a first calculator configured to calculate a gradient of a linear function indicating a trend of change in the observed values in the analysis range to minimize an objective function. The objective function indicates a sum of multiplication values at the points in time within the analysis range, the multiplication value is a numerical value obtained by multiplying a square of a difference between a function value of the linear function and the observed value by a weighting coefficient, and the weighting coefficient is a numerical value that increases as an elapsed time from the first point in time to each point in time increases.

A data processing device according to one aspect of the present invention includes an extractor configured to extract time-series data indicating observed values at points in time in an analysis range from a first point in time to a second point in time, and a first calculator configured to calculate a gradient of a linear function indicating a trend of change in the observed values in the analysis range to minimize an objective function. The objective function indicates a sum of multiplication values at the points in time within the analysis range, the multiplication value is a numerical value obtained by multiplying a square of a difference between a function value of the linear function and the observed value by a weighting coefficient, and the weighting coefficient is a numerical value that increases as an elapsed time from the first point in time to each point in time increases.