New and/or alternative approaches to physical plant performance control that can account for the health of the physical plant. In one example, a control algorithm is enhanced by inclusion of terms related to optimized performance and terms related to physical plant health. In another example, a performance optimized control solution is determined, a maximum allowed deviation is defined, and a final solution for physical plant control is determined taking into account health factors to minimize health impacts within the maximum allowed deviation from optimized performance, using for example a two-stage analysis. Another example uses a two level system with a low level controller and a supervisory controller, in which the supervisory controller observes health impacts of ongoing operations managed by the low level controller, and modifies one or more parameters used by the low level controller.

New and/or alternative approaches to physical plant performance control that can account for the health of the physical plant. In one example, a control algorithm is enhanced by inclusion of terms related to optimized performance and terms related to physical plant health. In another example, a performance optimized control solution is determined, a maximum allowed deviation is defined, and a final solution for physical plant control is determined taking into account health factors to minimize health impacts within the maximum allowed deviation from optimized performance, using for example a two-stage analysis. Another example uses a two level system with a low level controller and a supervisory controller, in which the supervisory controller observes health impacts of ongoing operations managed by the low level controller, and modifies one or more parameters used by the low level controller.

An integrated diagnostics system utilizes online and offline diagnostics techniques to evaluate control valves found in process plant environments. The integrated diagnostics system improves on existing diagnostic systems, which typically rely exclusively on online diagnostics or offline diagnostics.

New and/or alternative approaches to physical plant performance control that can account for the health of the physical plant. In one example, a control algorithm is enhanced by inclusion of terms related to optimized performance and terms related to physical plant health. In another example, a performance optimized control solution is determined, a maximum allowed deviation is defined, and a final solution for physical plant control is determined taking into account health factors to minimize health impacts within the maximum allowed deviation from optimized performance, using for example a two-stage analysis. Another example uses a two level system with a low level controller and a supervisory controller, in which the supervisory controller observes health impacts of ongoing operations managed by the low level controller, and modifies one or more parameters used by the low level controller.

The present disclosure relates to a method for monitoring an automated plant including a plurality of field devices and a plurality of other plant components, wherein the field devices generate data and communicate with one another and with a superordinated unit via a communication network, comprising: continuously registering production data from the plant, wherein the production data represents quantities of produced products versus defined time intervals; calculating individual loading data for each plant component and field device, wherein the loading data represents a degree of loading for each plant component and field device per produced product; continuously summing the degree of loading for each plant component and field device based on the registered production data and based on the loading data; and creating a warning notification when the degree of loading of a field device or a plant component exceeds a threshold individually defined for each, respectively.

Diagnostic and response systems and methods for a fluid power system acquire data from pressure and temperature sensors disposed in the fluid power system, analyze the data in a failure algorithm to build a history of cumulative damage to hoses in the fluid power system, communicates an indication of potential imminent hose failure to a central location when a level of the cumulative damage indicates imminent failure of a hose, analyze the information at the central location to determine an appropriate response, and transmit information about the fluid power system, including location, and identification of the hose about to fail to a response unit. The response unit responds to the location and replaces the component prior to failure, or the communication might include information that the hose has failed, such that the response unit replaces the failed hose to return the fluid power system to normal operation.

New and/or alternative approaches to physical plant performance control that can account for the health of the physical plant. In one example, a control algorithm is enhanced by inclusion of terms related to optimized performance and terms related to physical plant health. In another example, a performance optimized control solution is determined, a maximum allowed deviation is defined, and a final solution for physical plant control is determined taking into account health factors to minimize health impacts within the maximum allowed deviation from optimized performance, using for example a two-stage analysis. Another example uses a two level system with a low level controller and a supervisory controller, in which the supervisory controller observes health impacts of ongoing operations managed by the low level controller, and modifies one or more parameters used by the low level controller.

An integrated diagnostics system utilizes online and offline diagnostics techniques to evaluate control valves found in process plant environments. The integrated diagnostics system improves on existing diagnostic systems, which typically rely exclusively on online diagnostics or offline diagnostics.

A computerized method for predicting a failure of a component based on environmental conditions is described. Environmental conditions proximate a component in a server are monitored. When the current environmental conditions exceed a threshold level, the current environmental conditions are applied against historical data to predict when the component will fail. Mitigating actions are performed in response to, and prior to, the predicted failure of the component.