Abstract:
A combustion product control system includes a first sensing device that measures a concentration of NOx in a fluid stream and a second sensing device that measures NH3 slip in the stream. The system also includes at least one combustion product control element. The system further includes at least one processor coupled to the sensing devices and the control element. The processor is programmed to generate predetermined parameters for NOx values in the stream at least partially as a function of transient stream conditions. The processor is also configured to use model predictive control (MPC) processing to generate predetermined values for a NH3 injection rate during stream transients. The predetermined values vary at least partially as a function of modeled stream characteristics. The processor is further configured to regulate the control element to facilitate simultaneous regulation of the NOx and NH3 slip in the stream within respective predetermined parameters.
Abstract:
This application provides methods and systems for automated condition-based maintenance of mechanical systems. Example systems may at least one memory coupled to one or more computer processors that are configured to receive first data from the mechanical system indicative of performance of a first component of the mechanical system, determine, using the first data, a first performance metric for the first component, determine, using the first performance metric, a probability value that a fault has occurred at the first component, and determine, using the probability value, a predicted length of time until failure of the first component.
Abstract:
This application provides methods and systems for automated condition-based maintenance of mechanical systems. Example systems may at least one memory coupled to one or more computer processors that are configured to receive first data from the mechanical system indicative of performance of a first component of the mechanical system, determine, using the first data, a first performance metric for the first component, determine, using the first performance metric, a probability value that a fault has occurred at the first component, and determine, using the probability value, a predicted length of time until failure of the first component.
Abstract:
A non-transitory computer-readable storage medium storing one or more processor-executable instructions wherein the one or more instructions, when executed by a processor of a controller, cause acts to be performed including receiving signals representative of pressure between respective compressor blade tips and a casing of a compressor at one or more stages, generating multiple patterns based on a permutation entropy window and the signals, identifying multiple pattern categories in the multiple patterns, determining a permutation entropy based on the multiple patterns and the multiple pattern categories, predicting an anomaly in the compressor based on the permutation entropy, comparing the multiple pattern categories to determined permutations of pattern categories when an anomaly is present in the compressor, and predicting a category of the anomaly based on the comparison of the multiple pattern categories to the determined permutation of pattern categories.
Abstract:
A system includes a controller coupled to an inlet bleed heat system of a compressor. The controller is configured to detect an icing condition of an inlet portion of the compressor by determining a current compressor efficiency value of the compressor, a current compressor flow value of the compressor, or any combination thereof, comparing the current compressor efficiency value to a compressor efficiency model of the compressor, the current compressor flow value to a compressor flow model of the compressor, or any combination thereof, and providing an icing indication to the inlet bleed heat system if a first difference between the current compressor efficiency value and the compressor efficiency model is greater than a first threshold, a second difference between the current compressor flow value and the compressor flow model is greater than a second threshold, or any combination thereof.
Abstract:
A non-transitory computer readable medium stores instructions that are executed by a processor of a monitoring that when executed, the processor receives a state of at least one operational parameter of the turbomachinery. Then, the processor determines whether the state is within a region of accuracy of a stored record of a stored state stored in the memory. When the state is within the region of accuracy, the processor determines at least one operating condition from the stored record. Alternatively, when the state is not within the first region of accuracy, the processor stores the state as a new record in the memory.
Abstract:
A control system for monitoring a pressure vessel includes a pressure sensor coupled to a first pressure vessel component. The system also includes a level sensor coupled to a second pressure vessel component. The system additionally includes at least one computing device including at least one input channel configured to receive data from the pressure sensor and the level sensor and a processor coupled to the at least one input channel. The processor is programmed to populate a level and pressure dynamics model associated with the pressure vessel with data received from the pressure sensor and the level sensor, the processor further programmed to be capable of controlling operation of the pressure vessel based on the level and pressure dynamics model.
Abstract:
A method of controlling a heat recovery steam generator (HRSG) includes measuring a first regulated output of the HRSG and a second regulated output of the HRSG. The method includes comparing the first regulated output to a first setpoint defining a first target output to generate a first error signal and comparing the second regulated output to a second setpoint defining a second target output to generate a second error signal. The method also includes generating, by a controller implementing a multivariable control algorithm having as inputs the first error signal and the second error signal, control signals to control the HRSG to adjust values of the first regulated output and the second regulated output.
Abstract:
A system is provided that includes a memory storing a turbomachinery degradation model configured to model degradation of a turbomachinery over time. The system also includes a controller communicatively coupled to the memory and configured to control the turbomachinery based on a feedback signal and the turbomachinery degradation model. Moreover, the turbomachinery degradation model is configured to use a target power to derive a control parameter by estimating a modeled power of the turbomachinery, and the controller is configured to use the control parameter to control the turbomachinery.
Abstract:
A non-transitory computer readable medium stores instructions that are executed by a processor of a monitoring that when executed, the processor receives a state of at least one operational parameter of the turbomachinery. Then, the processor determines whether the state is within a region of accuracy of a stored record of a stored state stored in the memory. When the state is within the region of accuracy, the processor determines at least one operating condition from the stored record. Alternatively, when the state is not within the first region of accuracy, the processor stores the state as a new record in the memory.