Abstract:
Systems and methods for multi-level optimization of emission levels and efficiency for a boiler system that includes creating both boiler-level models (516) and burner-level models (524) and receiving a plurality of boiler-level system variables. The received system variables are used along with boiler system constraints to optimize boiler-level setpoints. Once the boiler-level setpoints have been optimized they are sent to the burner level (504) of a hierarchical control system (302), where they are used to optimize burner-level setpoints. Once the burner-level setpoints have been optimized they are sent to the burner control loops (530) of the plant control system (506) to be implemented.
Abstract:
A method for operating a rotary machine is provided. The rotary machine includes a stationary member and a rotatable member wherein the rotatable member is configured to rotate at least partially within the stationary member. The method includes determining an off-normal operating condition of the rotary machine facilitating undesirable contact between the rotatable member and the stationary member, monitoring a parameter associated with the off-normal operating condition, and preventing operation of the rotary machine while the monitored parameter is within a predetermined range.
Abstract:
A method for monitoring the health of a plurality of blades 12 is presented. The method includes the steps of determining 106 delta TOAs corresponding to the plurality of blades 12, determining 404 a standard deviation utilizing the delta TOAs corresponding to the plurality of blades; determining 412 a delta sigma_1 utilizing the standard deviation and an initial standard deviation, determining 414 a normalized delta TOA corresponding to one or more of the plurality of blades utilizing the delta sigma_1, determining 416 a standard deviation of the normalized delta TOA, determining 418 a delta sigma_2 utilizing the standard deviation of the normalized delta TOA and a previous standard deviation of normalized delta TOA, and determining 418 a corrected delta TOA corresponding to the one or more of the plurality of blades based upon the delta sigma_2.
Abstract:
A system 2 including: at least one computing device 120 configured to monitor a compressor blade 10 in a turbomachine 5 by: extracting time of arrival (TOA) data about the compressor blade 10 at a defined interval; correlating turbomachine operating conditions with the TOA data; extracting resonance data about the compressor blade 10 during startup or shutdown of the turbomachine 5, and extracting static deflection and tip clearance data about the compressor blade 10 during steady state operation of the turbomachine 5; creating a baseline compressor blade comparison level based upon the extracted resonance data, extracted static deflection and tip clearance data, and correlation between the turbomachine operating conditions and the TOA data; and iteratively extracting updated TOA data and performing the correlating, the extracting of the resonance data, static deflection and tip clearance data using the updated TOA data at the defined interval to create an updated baseline compressor blade comparison level. Corresponding computer program product with a program code executed by such a computing device.
Abstract:
A system (10) for monitoring equipment and transmitting data and/or signals from one or more satellite nodes (11) to a base node (20) for transmission to a monitor or controller for the equipment. The system (10) may transmit high frequency acoustic signals from one or more satellite nodes (11) embedded in the equipment through a structural component (14) of the equipment to the base node (20), eliminating the need to hardwire the satellite nodes (11) in harsh environments.
Abstract:
A system is disclosed. The system includes a processing subsystem 16 that determines preliminary voltages corresponding to a plurality of blades 12 based upon blade passing signals (BPS) 24, and generates a plurality of clearance values by normalizing the preliminary voltages for effects of one or more operational parameters, wherein the plurality of clearance values are representative of clearance of the plurality of blades 12.
Abstract:
A system (10) is presented. The system (10) includes a data acquisition system (32, 34) that generates time of arrival (TOA) data corresponding to a plurality of blades (16,18) in a device (12,14), a central processing subsystem (42) that determines features of each of the plurality of blades (16,18) utilizing the TOA data, and evaluates the health of each of the plurality of blades (16,18) based upon the determined features.
Abstract:
A system (10) is presented. The system (10) includes a data acquisition system (32, 34) that generates time of arrival (TOA) data corresponding to a plurality of blades (16,18) in a device (12,14), a central processing subsystem (42) that determines features of each of the plurality of blades (16,18) utilizing the TOA data, and evaluates the health of each of the plurality of blades (16,18) based upon the determined features.