Abstract: With the use of a model expression (FIG. 9C), of which inputs include a desired value of an in-cylinder air amount that is a controlled object of a system and predetermined parameters, such as engine speed (ne), a desired throttle opening degree (?ref) required to control the in-cylinder air amount to the desired value is calculated. In this model expression, parameters, such as the engine speed (ne), that oscillate at a relatively high frequency are excluded from subjects of differentiation, and the desired in-cylinder air amount value only is included in the subjects of differentiation.

Abstract: A flow control valve includes a housing that includes a fluid inlet, a fluid outlet, a first work port and a second work port. The housing defines a spool bore and a pilot spool bore. A main stage spool is disposed in the spool bore. A pilot stage spool is disposed in the pilot spool bore. The pilot stage spool is in selective fluid communication with the main stage spool. A microprocessor includes a controller having a restricted structured controller and a compensation controller. Outputs of the restricted structured controller and the compensation controller are summed to form an electrical signal that is communicated to the pilot stage spool.

Abstract: A method of diagnosing an adaptive process control loop includes measuring process control loop signal data, generating a plurality of process control loop parameters from the process loop signal data and evaluating a condition of the adaptive process control loop from one or more of the plurality of process control loop parameters. The process control loop data is generated as a result of a normal operation of one or more process control devices within the adaptive process control loop when the adaptive process control loop is connected on-line within a process control environment. A self-diagnostic process control loop includes a diagnostic tool adapted to receive a diagnostic index pertaining to a process control loop parameter for each component of the process control loop and for the complete process control loop. Each diagnostic index is generated from signal data by a corresponding index computation tool.

Abstract: A method and system for operating a facility having a plurality of equipment combinations wherein each equipment combination is operating interactively with at least one of another of the plurality of equipment combination is provided. The method includes receiving, in real-time, for each of the plurality of equipment combinations, a plurality of measured process parameters, determining at least one derived quantity from the plurality of measured process parameters, and recommending a change to an equipment operation based on the measured process parameters and the derived quantities.

Abstract: A method is disclosed of identifying or fixing the value of the parameters (aerodynamic data) of a pre-determined set of equations forming the aerodynamic models of an aircraft in various configurations, so as to minimize the variance between the values anticipated by using these aerodynamic data, and reference data in cases of known configurations, includes the use of learning or optimization methods to determine at least one portion of the parameters' values. The method includes storing database data, choosing an optimization method or a neural network method, breaking the identification down into several partial identifications, carrying out successive partial identifications, validating the values found for the aerodynamic model's parameters or iterating the method according to a threshold criterion determined on the value of variances between the reference data and the values measured by the identified model.

Abstract: A method is provided for analyzing and diagnosing a large scale process automation control system having a plurality of control loops. Assessments for pre-defined key performance indicators (KPIs) are automatically generated for control, process and signal sections of each control loop. The automatically generated assessments of the pre-defined KPIs may be displayed in a graphical user interface (GUI) of a computer. A user may change the automatically generated assessments of the pre-defined KPIs. Different data views may also be displayed in the GUI. The data views include time series trends for measured process variable, controller output, controller set point and error, as well as controller parameter clustering views in two-dimensional and three-dimensional plots.

Abstract: One or more techniques are provided for the sharing of variable trajectories between multiple controllers in a control system. In general, the present technique is based upon the sharing of predicted desired variable trajectories between multiple controllers requiring a common input variable. In one embodiment, a common input variable is shared between two controllers, wherein one controller is tuned to have dominant control with regard to the shared variable. Each controller determines and communicates their own desired trajectory for the shared variable to the other controller and in doing so, the constraints associated with each controller are shared and honored by the other controller. Based on the communicated trajectories, the dominant controller may exercise control over the shared variable, thus improving overall process control.

Abstract: Embodiments of techniques and systems for managing performance of a computing system are described. In embodiments, parameters may be received describing control variables for a computing system, workloads that are performed on the computing system, and performance metrics for the computing system. An experimental plan may be generated for modifying the control variables during execution of the computing system and observing performance metrics during this execution. The recorded observations may then be used in to determine one or more relationships between the control variables and the performance metrics. Relationships between the control variables and a desirability function associated with performance of the computer system may also be determined. These relationships may be displayed in visualizations to a user, and may be used to by the user to select values for the computing system which increase the desirability function. Other embodiments may be described and claimed.

Abstract: A quality regulating apparatus and method is disclosed which operates on a product stream having an incoming product stream quality level so that an outgoing product stream quality level provided by the apparatus follows a target quality level so that it is better than the target quality level providing a maximum yield. The apparatus includes a conveying device, a product stream imager, an inspection engine, a routing engine, and an object diverting station. In operation, the inspection engine and routing engine cooperate in a manner so that objects classified as defective are intentionally passed to the output product stream when their inclusion maintains the quality level of the first output product stream at a level that is better than or equal to the target quality level.

Abstract: Method of reducing performance variability of membrane scaling devices. Scaling device performance uncertainty is reduced, thereby reducing the scaling safety factor, by specifying a narrow range or subset of the set of all qualified manufactured membranes for installation into scaling devices. In certain embodiments, the scalability factor is reduced by determining where within the performance distribution a particular membrane lies, and adjusting the scaling factor accordingly.

Abstract: A method of diagnosing an adaptive process control loop includes measuring process control loop signal data, generating a plurality of process control loop parameters from the process loop signal data and evaluating a condition of the adaptive process control loop from one or more of the plurality of process control loop parameters. The process control loop data is generated as a result of a normal operation of one or more process control devices within the adaptive process control loop when the adaptive process control loop is connected on-line within a process control environment. A self-diagnostic process control loop includes a diagnostic tool adapted to receive a diagnostic index pertaining to a process control loop parameter for a plurality of components of the process control loop and for the complete process control loop. Each diagnostic index is generated from signal data by a corresponding index computation tool.

Abstract: A method and an apparatus for controlling a distributed automation system, wherein the method comprises determining global constraint rules according to the cooperative relationships between function blocks in the distributed automation system, and establishing a mathematical model based on Membrane Calculus, performing the instantiation of the established mathematical model based on Membrane Calculus according to an executor corresponding to each of the function blocks in the distributed automation system, so as to produce control logics for output to the distributed automation system. If disturbance information is received from the distributed automation system, altering the parameters of the instantiation of the mathematical model based on Membrane Calculus are altered using the disturbance information, so as to produce control logics for outputting to said distributed automation system.

Abstract: A controlling device comprises: a temperature ramp-up time estimating portion for estimating a required temperature ramp-up time for the controlled quantity in each individual control loop to reach a set point when the operating quantity output upper limit value of each individual control loop has been sent to a specified output upper limit value; a required output estimating portion for estimating, for each individual control loop, a required operating quantity output for the controlled quantity to reach the set point within the temperature ramp-up time; an output upper limit value setting portion for setting, temporarily, the operating quantity output as the operating quantity output upper limit value of the individual control loop; and a controlling portion that is provided for each individual control loop.

Abstract: A system for monitoring an industrial process and taking action based on the results of process monitoring. Actions taken may include process control, paging, voicemail, and input for e-enterprise systems. The system includes an input module for receiving a plurality of parameters from a process for manufacture of a substance or object. The system also includes a library module. The library module includes a plurality of computer aided processes. Any one of the computer aided processes is capable of using each of the plurality of parameters to compare at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. The computer aided process is also capable of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters. Additionally, the system includes an output module for outputting a result based upon the training set and the plurality of parameters.

Abstract: A method and an electronic device for compensation of the hysteresis of a pneumatically driven fitting having an electropneumatic valve. The electropneumatic valve is driven by a position regulator and is used in a closed control loop for position regulation of a switching element of an pneumatic actuating drive for operation of the fitting. Hysteresis of the pneumatically driven fitting is compensated for by the position regulator via at least one hysteresis correction factor. The control-engineering compensation for the hysteresis is carried out separately for a first basic case of starting or reversing a switching element and for a second basic case of continuous movement of the switching element, such that a dominant static friction is compensated for in the first basic case and the dominant sliding friction is compensated for in the second basic case, and the pneumatic actuating drive operates the switching element matched thereto.

Abstract: A video demographics analysis system selects a training set of videos to use to correlate viewer demographics and video content data. The video demographics analysis system extracts demographic data from viewer profiles related to videos in the training set and creates a set of demographic distributions, and also extracts video data from videos in the training set. The video demographics analysis system correlates the viewer demographics with the video data of videos viewed by that viewer. Using the prediction model produced by the machine learning process, a new video about which there is no a priori knowledge can be associated with a predicted demographic distribution specifying probabilities of the video appealing to different types of people within a given demographic category, such as people of different ages within an age demographic category.

Abstract: A method for adjusting a first functional unit (for example, a filter) and a second functional unit (for example, a proportional branch, integral branch, controlled industrial system and interference variables) includes determining a characteristic number that quantifies a relative deviation of respective reactions YMod and ySys of the two functional units to a reference variable change that occurs when both functional units are excited by the same reference variable change and determining a correction factor based on the characteristic number and using the correction factor to adjust at least one of the two functional units in order to reduce the relative deviation.

Abstract: A system and method for coordinating advanced process control and real-time optimization of a manufacturing process are provided. The system and method receive process data and economic data corresponding to the manufacturing process to be controlled and optimized. Based on the process data, the economic data and a nonlinear steady-state model of the process, an economic objective function is calculated by a real-time optimization module. A reduced-order non-linear approximation of the economic objective function is thereafter calculated by the real-time optimization module and transmitted to an advanced process control module. The advanced process control module utilizes the reduced-order non-linear approximation of the economic objective function to control the manufacturing process towards the constrained economic optimum.

Abstract: A method is disclosed for automatic estimation of backlash in a control system which includes a controller and a process to be controlled, wherein said controller is capable of performing integrating control of said process using one or more controller parameters to control a process output signal of said process with respect to a setpoint value thereof. The method involves monitoring said process output signal to determine a value reflecting momentary differences between setpoint value and actual value of said process output signal during a time interval; and estimating the backlash from said determined value and said one or more controller parameters.

Abstract: A virtual analyzer is provided to estimate either an attribute of a reactant applied during performance of, or an amount of a reactant exhausted by, a process having multiple process parameters (MPPs) that is performed to control an amount of a pollutant emitted into the air. The virtual analyzer includes an interface which receives signals corresponding to attributes of the MPPs. If the process is a wet flue gas desulfurization (WFGD) process, the signals include a signal corresponding to a measured pH level of the applied reactant. If the process is a selective catalytic reduction (SCR) process, the signals include a signal corresponding to a measured amount of the reactant exhausted by the process.

Abstract: A method for optimizing the mass of a composite panel composed of a plurality of uniform thickness zones, each zone defined by a vertical arrangement of plies, each arrangement having a different number of piles, and different orientation angles, where a positioning order of the plies has a given orientation angle with respect to the others in the vertical arrangement, and the proportion of plies has a given orientation angle with respect to all the plies composing the vertical arrangement. The optimization includes defining a lay-up table, and defining a vertical arrangement of plies for each uniform thickness zone, and starting from the lay-up table, building a function describing the physical properties of each zone as a function of the total thickness of each zone, where the total thickness for each zone is adjusted using a discrete variables iteration process, until the mass of the panel is a minimum.

Abstract: One embodiment of the present invention provides a system that estimates the relative humidity inside a computer system. During operation, a set of performance parameters of the computer system and an external relative humidity outside of the computer system are monitored. Then, the relative humidity inside the computer system is estimated based on the set of performance parameters, the external relative humidity, and a relative humidity model, wherein training of the relative humidity model includes measuring an external training relative humidity outside of the computer system and a training relative humidity inside the computer system while monitoring the set of performance parameters of the computer system.

Abstract: A computer system and computer program product for optimizing an aspect of an Information Technology (IT) structure of an IT system. The aspect of the IT structure is optimized with respect to at least one control parameter. The IT structure includes a plurality of elements. Each element independently is a hardware element, a software element, or a combination of a hardware element and a software element. Each control parameter has a value that is specific to each element of the IT structure.

Abstract: Process control system for detecting abnormal events in a process having one or more independent variables and one or more dependent variables. The system includes a device for measuring values of the one or more independent and dependent variables, a process controller having a predictive model for calculating predicted values of the one or more dependent variables from the measured values of the one or more independent variables, a calculator for calculating residual values for the one or more dependent variables from the difference between the predicted and measured values of the one or more dependent variables, and an analyzer for performing a principal component analysis on the residual values. The process controller is a multivariable predictive control means and the principal component analysis results in the output of one or more scores values, T2 values and Q values.

Abstract: Methods and planning systems used to schedule gain matrices for process control loops and determine optimal values for manipulated variables according to a minimum cost function. A cost function is calculated for each of a predetermined number of plans as a sum of partial cost functions calculated over a predetermined number of projections in a horizon. Each partial cost function after the initial projection of a plan is calculated using a scheduled gain matrix. The gain matrix can be scheduled for each projection by selection from a predetermined set of gain matrices or can be calculated in real time during the calculation for each projection.

Abstract: In an air-conditioning system controller provided with a central control unit and a local control unit, the central control unit includes a heat source machine measurement system for measuring an input/output state of a heat source machine, a setting unit for setting air-conditioning condition data on air-conditioning object spaces, an outdoor air measurement system for measuring outdoor air condition data, a total air-conditioning load operating unit, an optimal operating state estimation unit, and a heat source machine control. The total air-conditioning load operating unit calculates a total air-conditioning load or a heat exchange rate of the heat source machine based on chilled water inlet and outlet temperatures and chilled water flow rate of the heat source machine.

Abstract: Disclosed is a method for analyzing a computer-based data processing model of a complex system, said model comprising at least two modeling levels on which the system is represented at different degrees of abstraction.

Abstract: A method of determining a segment-specific estimate of a parameter associated with a process control loop includes receiving signal data corresponding to a signal from a process control loop, storing the signal data, partitioning the stored signal data into a plurality of data segments and performing a statistical analysis on a first one of the plurality of data segments selected from the plurality of data segments to generate a first segment-specific parameter estimate.

Abstract: A method, system, and medium of modeling and/or for controlling a manufacturing process is disclosed. In particular, a method according to embodiments of the present invention includes calculating a set of predicted output values, and obtaining a prediction model based on a set of input parameters, the set of predicted output values, and empirical output values. Each input parameter causes a change in at least two outputs. The method also includes optimizing the prediction model by minimizing differences between the set of predicted output values and the empirical output values, and adjusting the set of input parameters to obtain a set of desired output values to control the manufacturing apparatus. Obtaining the prediction model includes transforming the set of input parameters into transformed input values using a transformation function of multiple coefficient values, and calculating the predicted output values using the transformed input values.

Abstract: A learning controller overcomes tuning problems in vehicle simulation programs by estimating requisite vehicle-specific parameters, effectively learning from its mistakes, as the vehicle is automatically driven around a track. After a sufficient period of calibration, the learned parameters are automatically saved to a car-specific file. The file parameters may be loaded in the controller in the future to optimally control a vehicle without the need to re-run the learning procedure.

Abstract: The invention relates to a system and a method for analyzing a production process. In order to make it possible to analyze the production process in an improved manner for the purpose of production planning, the invention proposes a method for analyzing a production process in which at least one production device that is controlled by a control program is involved, wherein the method has the following method steps: at least one part of the control program is simulated using a simulation program and instructions which are executed in this case are logged, and an associated data record, in which the real-time requirement of an action caused by the logged instruction on the production device is respectively assigned to the logged instructions, is generated.

Abstract: Controlling a multi-variable process involves multi-dimensional representation of the values (Qa-Qh) of the process-variables (a-h) according to individual coordinate axes (Xa-Xh), and response based on historical values for the process-variables accumulated from multiple, earlier processes. An envelope (UL-LL) showing the best operating zone (‘BOZ’) for each process variable based on current values of the other variables is calculated from the accumulated historical values, and alarm conditions in which the current value of a variable lies outside the BOZ is rectified by changing the values (Qa-Qc) of manipulatable variables (a-c). Variable targets are achieved, alarms rectified and value optimisation realised using an inner envelope (UI-LI) derived from a subset of the BOZ-defining set of historical values. Where the alarm rate is low, operation is improved by narrowing the BOZ set to tighten the BOZ envelope (UL-LL) reducing an inner envelope where alarm rate remains acceptable, as a new BOZ.

Abstract: A system for monitoring an industrial process and taking action based on the results of process monitoring. Actions taken may include process control, paging, voicemail, and input for e-enterprise systems. The system includes an input module for receiving a plurality of parameters from a process for manufacture of a substance or object. The system also includes a library module. The library module includes a plurality of computer aided processes. Any one of the computer aided processes is capable of using each of the plurality of parameters to compare at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. The computer aided process is also capable of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters. Additionally, the system includes an output module for outputting a result based upon the training set and the plurality of parameters.

Abstract: A first principles model may be used to simulate a batch process, and the first principles model may be used to configure a multiple-input/multiple-output control routine for controlling the batch process. The first principles model may generate estimates of batch parameters that cannot, or are not, measured during operation of the actual batch process. An example of such a parameter may be a rate of change of a component (e.g., a production rate, a cell growth rate, etc.) of the batch process. The first principles model and the configured multiple-input/multiple-output control routine may be used to facilitate control of the batch process.

Abstract: A virtual analyzer is provided to estimate either an attribute of a reactant applied during performance of, or an amount of a reactant exhausted by, a process having multiple process parameters (MPPs) that is performed to control an amount of a pollutant emitted into the air. The virtual analyzer includes an interface which receives signals corresponding to attributes of the MPPs. If the process is a wet flue gas desulfurization (WFGD) process, the signals include a signal corresponding to a measured pH level of the applied reactant. If the process is a selective catalytic reduction (SCR) process, the signals include a signal corresponding to a measured amount of the reactant exhausted by the process.

Abstract: A parameter value estimator is provided for a process performed primarily to control emission of a particular non-particulate pollutant, such as NOx and SO2, into the air. The process has multiple process parameters (MPPs) including a parameter representing an amount of the particular non-particulate pollutant emitted. The parameter value estimator includes either a neural network process model or a non-neural network process model. In either case the model represents a relationship between one of the MPPs, other than the parameter representing the amount of the emitted particular non-particulate pollutant, and one or more other of the MPPs. Also included is a processor configured with the logic, e.g. programmed software, to estimate a value of the one MPP based on a value of each of the one or more other MPPs and the one model.

Abstract: Methods and systems to detect steady-state operations in a process of a process plant include collecting process data. The collected process data is generated from a plurality of process variables of the process. A multivariate statistical model of the operation of the process is generated using the process data. The multivariate statistical model may be generated from a principal component analysis. The model is executed to generate outputs corresponding to the most significant variations in the process. Statistical measures of the outputs are generated and used to determine whether a steady-state or unsteady-state is related to the process.

Abstract: The control apparatus for a movable robot comprises: environment information acquisition means (such as video camera 3 and microphone 4); a current position detecting means (15); a map storage (7); a control parameter storage (9) for storing control parameters adjusted to different environments; and control means (11, 12) for determining a current position of the robot on the map data based on a signal from the current position detecting means, retrieving control parameters suitable for the current position from the parameter storage, and controlling the environment information acquisition means or actuators for moving the robot by using the retrieved control parameters.

Abstract: In a cutting method of an oblique surface by a rotary tool, for analyzing in advance a stability limit depth of cut with respect to a self-excited cutting vibration in consideration of a pick feed amount and a work oblique angle and reducing the number of steps necessary for preparation and correction of NC data, a tool diameter, the number of cutting teeth and dynamic stiffness of the rotary tool, a cutting force coefficient determined by a combination of the tool and work materials, dynamic stiffness of the work, the pick feed amount, oblique angles between the tool and the work and the like are used as input values, an initial value of the stability limit depth of cut is determined based on the input values, and calculation is performed based on the initial value.

Abstract: The present invention provides a system and method for interfacing to a network. The system includes a network interface comprising an embedded network traffic analyzer (NTA) capable of network traffic analyzer filter and capture capabilities. The NTA also includes an artificial intelligence component that facilitates diagnosing and/or prognosing state and/or health of the network (and/or components thereof).

Abstract: The aim of the invention is to provide a regulating device which ensures automatic monitoring of additional regulator parameters, and a method for said automatic monitoring. To this end, the method and the device for adjusting a first (2) and a second functional unit (1, 3, 4, 6) of a regulating device are characterised in that, in a first step, a code is determined, which quantifies the relative variance between the reactions yMod and ySys of both functional units in relation to a control variable variation during the stimulation of both functional units using the same control variable variation, and in a second step, a corrective factor is determined from the code and used to parameterise at least one of the two functional units (1, 2, 3, 4, 6), reducing the relative variance. The invention is advantageous in that the regulating circuit can be automatically adapted to new conditions at any time.

Abstract: Embodiments of the present invention provide a system that estimates the value of a virtual sensor. The system first samples values for performance metrics using external sensors that are coupled to a system and internal sensors that are built into the system. Next, the system generates an inferential sensing model for the system from the sampled values. Then, during operation, the system samples values of performance metrics using the internal sensors and uses the inferential sensing model and the sampled values from the internal sensors to estimate the values of performance metrics for removed external sensors (i.e., virtual sensors).

Abstract: Disclosed are systems and methods for on-line monitoring of operation of a process in connection with process measurements indicative of the operation of the process. In some cases, the operation of the process is simulated to generate model data indicative of a simulated representation of the operation of the process and based on the process measurements. A multivariate statistical analysis of the operation of the process is implemented based on the model data and the process measurements. The output data from the multivariate statistical analysis may then be evaluated during the operation of the process to enable the on-line monitoring of the process involving, for instance, fault detection via classification analysis of the output data.

Abstract: A controller is provided for directing control of a process performed to control an amount of a pollutant emitted into the air. The process has multiple process parameters (MPPs) The controller includes either a neural network process model or a non-neural network process model. Whichever type model is included, it will represent a relationship between one of the MPPs and other of the MPPs. The controller also includes a control processor having the logic to determine the validity of a measured value of the one MPP based on the one model. The control processor directs control of the process in accordance with the measured value of the one MPP only if the measured value of the one MPP is determined to be valid. On the other hand, if the measured value is determined to be invalid, the control processor may direct control of the process in accordance with an estimated value of the one MPP.

Abstract: Embodiments of the present invention provide a production planning method and system. Where a manufacturing apparatus is shared by a plurality of products in a production line, if a manufacturing (production) availability number is changed, a cause parameter is automatically investigated so that a production plan with high precision can be prepared in a short time. With respect to a production plan as the previous/current comparison objects, a production process used in the production plan in which a change occurs, is extracted. From the production process, a parameter item to be used in the production capacity evaluation is extracted for all products, a difference comparison is made between the value of the previous parameter and the value of the current parameter, so that the parameter item as the cause is specified. The combination of the cause parameter items is calculated, and a cause parameter list is prepared.

Abstract: An observation system configured to observe one or more initially unknown state variables of an observed system includes an input interface configured to receive a system input, and a processing module coupled to the input interface. The processing module is configured to determine the one or more initially unknown state variables, and the determination is based at least in part on the system input, a plurality of known state variables, and a time varying mode vector that is time dependent.

Abstract: This Invention provides for a method and system for speed measurement verification. The method comprises the step of automatically measuring the speed of a vehicle traveling on a surface which includes a fixed marker at a predetermined distance from a point where the speed of the vehicle is measured. The measured speed is automatically compared to a predetermined speed limit and if the speed limit is exceeded, the next step involves automatically calculating a time delay, which time delay is calculated according to the measured speed and the predetermined distance so as to predict when the vehicle, if traveling at the measured speed, will reach the marker. An image is then captured with a camera directed at the marker after expiration of the time delay so that, if the measured speed is accurate, the vehicle will be positioned proximate the marker so that the captured image showing the vehicle relative to the marker is able to serve as verification of the accuracy of the measured speed.

Abstract: A method and system for operating a facility having a plurality of equipment combinations wherein each equipment combination is operating interactively with at least one of another of the plurality of equipment combination is provided. The method includes receiving, in real-time, for each of the plurality of equipment combinations, a plurality of measured process parameters, determining at least one derived quantity from the plurality of measured process parameters, and recommending a change to an equipment operation based on the measured process parameters and the derived quantities.

Abstract: The control precision of one or more parameters of an integrated circuit (IC), for example the output voltage of a voltage regulator comprised in the IC, may be improved even when using inaccurate components external to the IC. Control of the output voltage, or any parameter, using components external to the IC may include coupling a resistor to the IC and measuring the actual resistance value of the resistor, and based on the measured value, selecting a nominal resistance value from a set of resistance values previously specified by the user. The output voltage, or parameter, may be generated according to the nominal resistance value instead of the actual resistance value, thereby reducing the error that may be incurred due the actual resistance value of the resistor not matching the expected nominal value of the resistor.

Abstract: Systems and methods that vary multiple data sampling rates, to collect sets of data with different levels of granularity for an industrial system. The data for such industrial system includes sets of data from the “internal” data stream(s) (e.g., history data collected from an industrial unit) and sets of data from an “external” (e.g., traffic data on network services) data stream(s), based in part on the criticality/importance criteria assigned to each collection stage. Each set of data can be assigned its own unique data collection rate. For example, a higher sample rate can be employed when collecting data from the network during an operation stage that is deemed more critical (e.g., dynamic attribution of predetermined importance factors) than the rest of the operation.