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 method for monitoring the health of one or more blades (12) is presented. The method includes steps of determining (106) a delta TOA corresponding to each of the one or more blades (12) based upon respective actual time of arrival (TOA) of the one or more blades (12), determining (320) a normalized delta TOA corresponding to each of the one or more blades (12) by removing effects of one or more operational data from the delta TOA, and determining (330) a corrected delta TOA corresponding to each of the one or more blades by removing effects of reseating of the one or more blades from the normalized delta TOA.
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:
In one embodiment, a blade monitoring system (120) includes: at least one computing device configured to monitor a compressor (4) during a load change by performing actions comprising: extracting a dynamic component of a blade time-of-arrival (TOA) deviation signal in response to the load change on the compressor (4); calculating, using the dynamic component, at least one of: a natural frequency of the GT compressor blade (10) during the load change, an overshoot of the GT compressor blade (10) during the load change, a rise time of the compressor blade during the load change, a damping factor of the compressor blade during the load change, or a settling time of the GT compressor blade (10) after the load change; and determining whether the GT compressor blade (10) is damaged based upon the at least one of: the natural frequency, the overshoot, the rise time, the damping factor, or the settling time.
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 method for monitoring the health of one or more blades (12) is presented. The method includes steps of determining (106) a delta TOA corresponding to each of the one or more blades (12) based upon respective actual time of arrival (TOA) of the one or more blades (12), determining (320) a normalized delta TOA corresponding to each of the one or more blades (12) by removing effects of one or more operational data from the delta TOA, and determining (330) a corrected delta TOA corresponding to each of the one or more blades by removing effects of reseating of the one or more blades from the normalized delta TOA.
Abstract:
Methods, systems and computer program products for assessing residual life of an airfoil, which would experience high cycle fatigue failure under at- or near-resonance vibration condition, are provided. The method includes receiving, at a processing system, at least one vibration response parameter associated with the airfoil. The method processes at least one cracked airfoil finite element model. Processing the cracked airfoil finite element model includes accessing the cracked airfoil finite element model, computing a modal stress intensity factor (SIF) of the cracked airfoil finite element model using fracture mechanics based finite element analysis, and computing a vibratory SIF based, at least in part, on the modal SIF and the at least one vibration response parameter. The method then computes a residual life indicator of the airfoil based, at least in part, on the vibratory SIF.