A system, apparatus and method of determining remaining life of a bearing is disclosed. The method includes generating a bearing model of the bearing. The bearing model is based on one of condition data associated with operation of the bearing, historical condition data of the bearing, bearing specification and technical specification of a technical system including the bearing. The method further includes predicting a defect in the bearing based on the bearing model and predicting the remaining life of the bearing based on the predicted defect.

A condition monitoring device for an extracted-gas compression system including a compressor which increases pressure of extracted gas includes: a sensor for detecting a state quantity of the extracted gas flowing into the compressor; an erosion progression level calculation unit for calculating an erosion progression level of the compressor on the basis of the state quantity of the extracted gas; and a service life evaluation unit for evaluating a service life of the compressor on the basis of the erosion progression level of the compressor.

This test device for a monitoring control device includes an input/output controller, a logic controller, a logic connector, a logic executing simulator, a test target indication unit, an apparatus characteristic receiver, a logic managing simulator, and a logic connection information generator. Using an apparatus characteristic obtained by the apparatus characteristic receiver, the logic managing simulator specifies a simulation logic appropriate for a control logic on the basis of a simulation logic management rule. The logic connector connects the control logic and the simulation logic, by using logic connection information generated on the basis of a logic connection rule.

The invention relates to managing a plurality of subsystems of a process plant. The process plant is controlled using a Distributed Control System (DCS) with a plurality of data-bases distributed within the process plant, wherein each database comprises information corresponding to at least one subsystem of the plurality of subsystems. The method comprises receiving a query at a human machine interface of the DCS, wherein the query is of a predetermined type and is associated with at least one of an operation and health of a subsystem. The method further comprises identifying at a server of the DCS, a data-base comprising information corresponding to the subsystem. Furthermore, the method comprises processing the query based on the information corresponding to the subsystem. In addition, the method comprises utilizing the DCS to control the operation of the subsystem by controlling process parameters of the process in one or more subsystems.

An asset management method for power equipment in accordance with the present invention comprises steps of generating integrity of each sub-device of the power equipment by using state data and real-time monitoring data of the each sub-device; compensating a reference reliability model by the each sub-device and generating a unique reliability model by the each sub-device by comparing reliability of the reference reliability model by the each sub-device and the integrity by the each sub-device; calculating reliability of the power equipment by applying a system relationship model between the power equipment and the each sub-device to which specific weight and failure rate are reflected; deriving, and calculating an estimate of, a maintenance scenario by the each sub-device; and updating the reliability model for the power equipment while updating the unique reliability model by the each sub-device by a predetermined priority and according to execution of maintenance.

A plurality of real control inputs and real process measurements provided by a real automation system controlling an industrial process are continuously stored continuously storing in a historian database. At the same time, a plurality of forecast control inputs and process measurements provided by a virtual automation system based on a simulation model are continuously stored in a futurian database. Both the past operation of the industrial process up to present time based on data from the historian database and the forecast future operation of the industrial process from the present time onwards based on data from the futurian database are displayed on the operator screen.

A system and method for performing management and diagnostic functions in an advanced process control (APC) system. An APC management computer retrieves operating process data from an APC control computer and performs an iterative step test on the APC system. The iterative step test modifies at least one test parameter of the operating process data and identifies changes to a set of remaining parameters of the operating process data resulting from modification of the test parameter. The APC management computer determines at least one process variable from the iterative step test and generates at least one process model based on the process variable. The APC management computer transmits the process model to the APC control computer.

A plant performance evaluation apparatus includes a first storage storing a first static model indicating a model of a first steady state in a plant, a second storage storing a first dynamic model indicating a model of a dynamic state of the plant, a model converter configured to convert the first dynamic model to a second static model indicating a model of a second steady state of the plant, and to store the second static model into the first storage, the first steady state indicating a steady state of the plant temporally before the second steady state, a comparator configured to compare parameters included in the first static model with parameters included in the second static model and to output a comparison result, and a display configured to display the comparison result output from the comparator.

A motor controller circuit includes an electrical powertrain having a three phase input, a DC link and a three phase output, a controller including a processor and a memory, a first current sensor configured to sense a current at the three phase input, a second current sensor configured to sense a current at the three phase output, and a third sensor configured to sense a current at the DC link, and wherein the memory stores instructions configured to cause the processor to compare an operational model of the powertrain against a mathematical model of the powertrain and to detect a high impedance fault when a deviation between the operational model and the mathematical model exceeds a threshold.

This invention relates to a method of monitoring a fluid processing network having a plurality of fluid processing regions including the steps of: receiving measured current parameter values at known points of the network; determining from the measured current parameter values regions of the network that are active, all other regions being deemed inactive; subtracting inactive regions of the network from a model of the fluid processing network to provide a current active network model; determining current parameter values of the current active network at least at points remote from the known points, the parameter values at said remote points being determined using the measured current parameter values and the current active network model; based on the current parameter values, determining if one or more pre-specified boundaries are breached; and performing a predetermined action if one or more said boundaries are breached.