General Electric Company

Frederick William Block

Richard Lee Nichols

William Forrester Seely

Mark Andrew Runkle

Maria Cecilia Mazzaro

George Allen Ellis

Charles Scott Sealing

Atanu Talukdar

Bret Stephen Dalton

Pablo Enrique Acevedo Giraldi

Michael Joseph Dell'Anno

Eamon Patrick Gleeson

John Joseph Raffensperger

Joseph Law

Mark P Bombard

Kenneth Lee Leary

Guillermo Garcia

Mustafa Tekin Dokucu

David Spencer Ewens

Michael Joseph Alexander

Scott William Szepek

Fred Henry Boettner

Joel Donnell Holt

Matthijs Leonardus Gerardus Boerlage

Jay Lynn Johnson

Sai Kumar Motukuri

Steven Michael Sanchez

Michael J Dell'anno

Joseph Robert Law

Patrick Gleeson Eamon

A system for managing multiple power assets is provided. The system includes at least one volatile asset, at least one deterministic asset, and a controller communicatively coupled to the at least one volatile asset and the at least one deterministic asset, the controller configured to receive data from said at least one volatile asset, predict a change in power output for said at least one volatile asset based on the received data, and control operation of said at least one deterministic asset to compensate for the predicted change in power output.

Systems and methods for controlling and monitoring power assets

A system includes a model-based control system configured to receive data relating to parameters of a machinery via a plurality of sensors coupled to the machinery and select one or more models configured to generate a desired parameter of the machinery based on a determined relationship between the parameters and the desired parameter. The one or more models represent a performance of a device of the machinery. The model-based control system is configured to generate the desired parameter using the data and the one or more models control a plurality of actuators coupled to the machinery based on the desired parameter. Further, the model-based control system is configured to empirically tune the one or more models based on the data, the one or more parameters, and the desired parameter, compare the empirical tuning to a baseline tuning, and determine an operational state of the device based on the comparison.

Asset degradation model baselinening system and method

In accordance with one aspect of the present technique a method includes receiving at least one of a speed and an acceleration of a rotating component in a rotating machine. The method includes determining whether at least one of the speed and the acceleration of the rotating component exceeds a non-trip operating (NTO) space in a speed-acceleration plane, wherein the NTO space is based on a trip overshoot model. The method further includes sending a notification for tripping the rotating machine in response to determining that at least one of the speed and the acceleration of the rotating component exceeds the NTO space.

System and method for preventing an emergency over-speed condition in a rotating machine

A system includes a power generation system and a controller that controls the power generation system. The controller includes a processor that generates a model of the power generation system that estimates a value for a first parameter of the power generation system. The processor also receives a measured value of the first parameter. The processor further adjusts a correction factor of the model such that the estimated value of the first parameter output by the model is approximately equal to the measured value of the first parameter. The processor also generates a transfer function that represents the correction factor as a function of a second parameter of the power generation system. The processor further displays the transfer function along with one or more previously generated transfer functions to quantify degradation of the power generation system.

Adaptive model-based method to quantify degradation of a power generation system

A system for improved reliability operations of a system with a heat recovery steam generator (HRSG) are presented. The system includes a processor configured to execute a model library to model a safety system. The model library includes a plurality of subsystem models each configured to derive a reliability measure. The system also includes the HRSG and an HRSG advisory system. The HRSG advisory system may be executed by the processor and is configured to receive one or more condition monitoring algorithm results, receive one or more measurements; and determine a probability of failure for the HRSG based at least in part on the one or more condition monitoring algorithm results, the one or more measurements, the model library, or a combination thereof. Moreover, determining the probability of failure includes determining a most likely state of a plurality of states of the HRSG.

Systems and methods for improved reliability operations

A system may include a model library configured to model a system, wherein the model library includes a plurality of subsystem models, and each of the plurality of subsystem models is configured to derive a reliability measure. The system further includes a fault tolerance input and a maintenance policy input. The system further includes a dynamic risk calculation engine (DRCE) configured to use a user-defined set of the plurality of subsystem models, the fault tolerance input and the maintenance policy input, to derive a system risk for an apparatus.

A system may include a model library configured to model a safety system, wherein the model library comprises a plurality of subsystem models, and each of the plurality of subsystem models is configured to derive a reliability measure. The system further includes a fault tolerance input and a maintenance policy input. The system further includes a dynamic risk calculation engine (DRCE) configured to use a user-defined set of the plurality of subsystem models, the fault tolerance input and the maintenance policy input, to derive a system risk for an apparatus.

A system may include a dynamic risk calculation engine (DRCE) system. The DRCE includes a model library configured to model a system, wherein the model library comprises a plurality of subsystem models, and each of the plurality of subsystem models is configured to derive a reliability measure. The DRCE further includes a fault tolerance input and a maintenance policy input. The DRCE additionally includes a run-time risk calculation engine configured to use a user-defined set of the plurality of subsystem models, the fault tolerance input, and the maintenance policy input, to derive a system risk for an apparatus.

Systems and methods for dynamic risk derivation

A system includes a risk assessment system. The risk assessment system includes a risk calculation system configured to calculate a risk based on one or more static inputs and one or more dynamic inputs. The one or more dynamic inputs includes a location of a human resource, a mobile resource, or a combination thereof. The risk assessment system further includes a decision support system (DSS) configured to use the risk to derive one or more decisions based on the risk, the one or more static inputs, and the one or more dynamic inputs. The one or more decisions are configured to aid in operating an industrial facility.

Systems and methods for management of risk in industrial plants

Embodiments of the present disclosure include systems and a method. In one embodiment, a system is provided. The system includes a risk calculation system configured to calculate a risk based on a static input and a dynamic input, and a decision support system configured to use the risk to derive a decision. The system also includes a plant control system configured to update operations of a plant based on the decision, wherein the decision predicts future plant conditions.

System and method for optimizing plant operations

Embodiments of the present invention have the technical effect of automatically testing an overspeed protection system of a powerplant machine comprising at least one shaft. An embodiment of the present invention may automatically test the overspeed protection system while the powerplant machine is decelerating from full-speed-no-load (FSNL). Another embodiment of the present invention may automatically test the overspeed protection system of the powerplant machine while the powerplant machine is accelerating to FSNL.

Method and system for testing an overspeed protection system of a powerplant machine

Embodiments of the present invention have the technical effect of automatically testing an overspeed protection system associated with multiple powerplant machines of a powerplant. An embodiment of the present invention may automatically test the overspeed protection system while at least one of the powerplant machines is in the process of shutting down. Another embodiment of the present invention may automatically test the overspeed protection system by adjusting the speed of a shaft while at least one of the powerplant machines operates at full-speed-no-load.

Method and system for testing an overspeed protection system of a powerplant

Embodiments of the present invention have the technical effect of automatically testing an overspeed protection system of a powerplant machine comprising a shaft and integrated with a safety control system. An embodiment of the present invention may automatically test the overspeed protection system while the powerplant machine is in the process of shutting down. Another embodiment of the present invention may automatically test the overspeed protection system of the powerplant machine by adjusting the speed of a shaft while operating at full-speed-no-load.

Embodiments of the present invention have the technical effect of determining when to test an overspeed protection system of a powerplant machine. As described herein, embodiments of the present invention may be applied to a wide variety of powerplant machines, each comprising a shaft. After determining that test of the overspeed protection system should be performed, embodiments of the present invention may allow for a variety of methods to test the overspeed protection system.

Method for determining when to perform a test of an overspeed protection system of a powerplant machine

Disclosed herein is an approach that validates the sensitivity of a working fluid parameter indicator in a system using centrifugal machines. In one aspect, a lead centrifugal machine and a lag centrifugal machine supply a working fluid to a distribution conduit. A working fluid parameter indicator measures a process parameter associated with the working fluid supplied to the distribution conduit by the lead centrifugal machine and the lag centrifugal machine. A controller validates the sensitivity of the working fluid parameter indicator to measure the process parameter associated with the working fluid as a function of operation of the lag centrifugal machine relative to the lead centrifugal machine during an operational test performed on the centrifugal machines.

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Campobello, SC, United States of America

Frederick William Block