Abstract: A method for monitoring health of a hydraulic fluid subsystem is presented. The method includes determining a plurality of forces acting on an actuator of the hydraulic fluid subsystem, determining a plurality of parameters based on at least one of an actuator inlet flow rate, an actuator outlet flow rate, and the plurality of forces acting on the actuator, receiving a valve inlet pressure of at least one of oil and gas flowing through a pipe while entering a valve operationally coupled to the actuator and a valve outlet pressure of the at least one of the oil and the gas flowing through the pipe while flowing out of the valve, and monitoring the health of the hydraulic fluid subsystem based on at least one of the plurality of parameters, the valve inlet pressure, and the valve outlet pressure.

Abstract: Data characterizing a first set of locations of a plurality of sensors at an industrial site is received. Gas concentration, wind velocity at the industrial site, and an identified leakage area at the industrial site are detected by the plurality of sensors. Locations and leakage rates of one or more leakage sources is determined in the identified leakage area by a predictive dispersion model. The predictive dispersion model is configured to receive the wind velocity at the industrial site and the locations and leakage rates of the one or more potential leakage sources as input and generate the set of estimated gas concentration as output. A comparative metric based on the set of estimated gas concentrations is compared to the detected gas concentrations. The selected location and leakage rates of the potential leakage sources in a current iteration of the iterative determination are provided.

Abstract: A method includes receiving data characterizing locations of potential sources and of potential sensors at an industrial site, and receiving data characterizing a plurality of wind velocities at the industrial site. The method includes calculating a first prediction error of localization associated with a first set of potential sensors of the plurality of potential sensors, calculating a second prediction error of localization associated with a second set of potential sensors of the plurality of potential sensors, the calculating being based on a second set of scenario prediction errors associated with the plurality of scenarios, and selecting the first set of potential sensors to provide locations associated the first sub-set of potential sensors.

Abstract: A method for monitoring health of a valve is presented. The method includes receiving an acoustic emission signal from a sensing device operatively coupled to the valve, selecting a region of interest signal in the acoustic emission signal, determining a plurality of current parameters based on the region of interest signal, and monitoring the health of the valve based on at least the plurality of current parameters, wherein the region of interest signal comprises acoustic emission data generated from initiation of an opening of the valve until the valve is partially opened.

Abstract: A method for monitoring health of a valve is presented. The method includes receiving an acoustic emission signal from a sensing device operatively coupled to the valve, selecting a region of interest signal in the acoustic emission signal, determining a plurality of current parameters based on the region of interest signal, and monitoring the health of the valve based on at least the plurality of current parameters, wherein the region of interest signal comprises acoustic emission data generated from initiation of an opening of the valve until the valve is partially opened.

Abstract: A method for monitoring health of a hydraulic fluid subsystem is presented. The method includes determining a plurality of forces acting on an actuator of the hydraulic fluid subsystem, determining a plurality of parameters based on at least one of an actuator inlet flow rate, an actuator outlet flow rate, and the plurality of forces acting on the actuator, receiving a valve inlet pressure of at least one of oil and gas flowing through a pipe while entering a valve operationally coupled to the actuator and a valve outlet pressure of the at least one of the oil and the gas flowing through the pipe while flowing out of the valve, and monitoring the health of the hydraulic fluid subsystem based on at least one of the plurality of parameters, the valve inlet pressure, and the valve outlet pressure.

Abstract: A system including a plurality of sensing devices configured to generate acoustic emission (AE) signals that are representative of acoustic emission waves propagating through a plurality of stator vanes is presented. The system further includes a processing subsystem that is in an operational communication with the plurality of sensing devices, and the processing subsystem is configured to generate a dynamic threshold based upon an initial threshold and the AE signals, determine whether a plurality of signals of interest exist in the AE signals based upon the dynamic threshold, extract the plurality of signals of interest from the AE signals based upon the dynamic threshold, determine one or more features corresponding to the plurality of signals of interest, and analyze the one or more features to monitor and validate the health of the plurality of stator vanes.

Abstract: Embodiments of the invention include an inspection system to inspect internal components of a compressor of a gas turbine engine. The inspection system includes an image recording assembly having one or more image recording devices, light sources, storage devices, and power supplies. The image recording assembly may be inserted into a compressor without removal of the compressor housing or disassembly of the compressor. The image recording assembly may be removably coupled to a rotary component of the compressor, e.g., a rotor blade, and used to record images of stationary components, e.g., stator vanes, of the compressor. The images may be inspected to identify wear and/or defects in the stationary components, e.g., stator vanes.

Abstract: A system is disclosed that includes an image recording assembly for recording images of a stator vane of a compressor and a mechanism configured to magnetically couple the image recording assembly to a rotor blade of a compressor. Additional systems are provided that include image recording assemblies. Methods implementing the disclosed systems are also provided.

Abstract: A system including a plurality of sensing devices configured to generate acoustic emission (AE) signals that are representative of acoustic emission waves propagating through a plurality of stator vanes is presented. The system further includes a processing subsystem that is in an operational communication with the plurality of sensing devices, and the processing subsystem is configured to generate a dynamic threshold based upon an initial threshold and the AE signals, determine whether a plurality of signals of interest exist in the AE signals based upon the dynamic threshold, extract the plurality of signals of interest from the AE signals based upon the dynamic threshold, determine one or more features corresponding to the plurality of signals of interest, and analyze the one or more features to monitor and validate the health of the plurality of stator vanes.

Abstract: A system is disclosed that includes an image recording assembly for recording images of a stator vane of a compressor and a mechanism configured to magnetically couple the image recording assembly to a rotor blade of a compressor. Additional systems are provided that include image recording assemblies. Methods implementing the disclosed systems are also provided.

Abstract: A system for monitoring compressor anomalies includes an acoustic energy detector connected to the compressor and a controller in communication with the acoustic energy detector. The acoustic energy detector transmits an acoustic energy signal reflective of acoustic energy produced by the compressor to the controller. At least one sensor connected to the compressor measures an operating parameter of the compressor and transmits a parameter signal reflective of the operating parameter to the controller, A method for monitoring compressor anomalies includes sensing acoustic energy produced by the compressor and transmitting an acoustic energy signal reflective of the acoustic energy to a controller. The method further includes sensing at least one operating parameter of the compressor, transmitting a parameter signal reflective of the operating parameter to the controller, and transmitting an output signal based on the acoustic energy signal and the operating parameter signal.

Abstract: Embodiments of the invention include an inspection system to inspect internal components of a compressor of a gas turbine engine. The inspection system includes an image recording assembly having one or more image recording devices, light sources, storage devices, and power supplies. The image recording assembly may be inserted into a compressor without removal of the compressor housing or disassembly of the compressor. The image recording assembly may be removably coupled to a rotary component of the compressor, e.g., a rotor blade, and used to record images of stationary components, e.g., stator vanes, of the compressor. The images may be inspected to identify wear and/or defects in the stationary components, e.g.