Abstract: A method for determining a condition of a second component of an engine is disclosed wherein the engine includes at least a first component and the second component. The method includes determining a concentration value of a chemical species in an effluent obtained from washing at least a portion of the first component of the engine, inputting the concentration value of the chemical species in a condition assessment model to update the condition assessment model, and estimating the condition of the second component based on an output of the updated condition assessment model. The effluent used herein includes a wash fluid and the chemical species. The second component is different from the first component and the condition assessment model is a representative of a condition of the second component of the engine.

Abstract: A method for determining a condition of a second component of an engine is disclosed wherein the engine includes at least a first component and the second component. The method includes determining a concentration value of a chemical species in an effluent obtained from washing at least a portion of the first component of the engine, inputting the concentration value of the chemical species in a condition assessment model to update the condition assessment model, and estimating the condition of the second component based on an output of the updated condition assessment model. The effluent used herein includes a wash fluid and the chemical species. The second component is different from the first component and the condition assessment model is a representative of a condition of the second component of the engine.

Abstract: Systems and methods for blade health monitoring are provided. According to one embodiment of the disclosure, a system may include a feature extraction module and an anomaly detection module in communication with the extraction module. The feature extraction module may be configured to continuously receive blade passing signal data associated with clearance of a blade and pre-process the blade passing signal data. Blade clearance feature data may be extracted from the blade passing signal data prior to transmission to the anomaly detection module. The anomaly detection module may be configured to normalize the blade clearance feature data received from the extraction module, analyze the blade clearance feature data to detect a shift in the clearance of the blade, and determine an abnormality of the blade based on the shift exceeding a predetermined shift threshold.

Abstract: A system for monitoring health of a rotor is presented. The system includes a processing subsystem that generates a measurement matrix based upon a plurality of resonant-frequency first delta times of arrival vectors corresponding to a blade and a first sensing device, and a plurality of resonant-frequency second delta times of arrival vectors corresponding to the blade and a second sensing device, generates a resonant matrix based upon the measurement matrix such that entries in the resonant matrix are substantially linearly uncorrelated and linearly independent, and generates a resonance signal using a first subset of the entries of the resonant matrix, wherein the resonance signal substantially comprises common observations and components of the plurality of resonant-frequency first delta times of arrival vectors and the plurality of resonant-frequency second delta times of arrival vectors.

Abstract: A method comprising the steps of determining normalized delta times of arrival corresponding to a plurality of blades based upon actual times of arrival corresponding to the plurality of blades, and determining static deflections of the plurality of blades by removing effects of one or more common factors from the normalized delta times of arrival corresponding to the plurality of blades.

Abstract: A method is presented. The method includes the steps of generating rotation signals corresponding to a plurality of rotations of a rotor physically coupled to a plurality of blades, and determining peak voltages corresponding to the plurality of blades by applying time synchronous averaging technique to blade passing signals using the rotation signals, wherein the peak voltages are representative of clearances of the plurality of blades.

Abstract: A system is disclosed. The system includes a processing subsystem that determines preliminary voltages corresponding to a plurality of blades based upon blade passing signals (BPS), 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.

Abstract: A compact assistive reading device. A compact form factor is achieved through the use of an optical system with a pin hole aperture, which also obviates the needs for mirrors. One or more light sources are positioned outside the field of view of the optical system. A structure such as a prism film, patterned reflector or light pipe may be used to provide an illumination pattern that enhances the quality of images formed with the optical system. Additionally, processing components to recognize text, numbers or other information on an item placed in the imaging area of the optical system may be incorporated into a housing with the optical system. The housing contains features to facilitate easy insertion of an object into the imaging area and sensors to indicate when the object is properly positioned. The device may function as a currency reader.

Abstract: A method comprising the steps of determining normalized delta times of arrival corresponding to a plurality of blades based upon actual times of arrival corresponding to the plurality of blades, and determining static deflections of the plurality of blades by removing effects of one or more common factors from the normalized delta times of arrival corresponding to the plurality of blades.

Abstract: A system for monitoring health of a rotor is presented. The system includes a processing subsystem that generates a measurement matrix based upon a plurality of resonant-frequency first delta times of arrival vectors corresponding to a blade and a first sensing device, and a plurality of resonant-frequency second delta times of arrival vectors corresponding to the blade and a second sensing device, generates a resonant matrix based upon the measurement matrix such that entries in the resonant matrix are substantially linearly uncorrelated and linearly independent, and generates a resonance signal using a first subset of the entries of the resonant matrix, wherein the resonance signal substantially comprises common observations and components of the plurality of resonant-frequency first delta times of arrival vectors and the plurality of resonant-frequency second delta times of arrival vectors.

Abstract: A system for monitoring health of a rotor is presented. The system includes a processing subsystem that generates a plurality of frequency peak values corresponding to two or more respective windows of signals by iteratively shifting the two or more respective windows of signals along delta times of arrival signals corresponding to a blade in the rotor, determines one or more resonant-frequency rotor speeds ranges of the blade by identifying rotor speeds corresponding to a subset of the plurality of frequency peak values, and monitors the blade to determine a presence of one or more defects in the blade during the resonant-frequency rotor speeds regions.

Abstract: Systems and methods for blade health monitoring are provided. According to one embodiment of the disclosure, a system may include a feature extraction module and an anomaly detection module in communication with the extraction module. The feature extraction module may be configured to continuously receive blade passing signal data associated with clearance of a blade and pre-process the blade passing signal data. Blade clearance feature data may be extracted from the blade passing signal data prior to transmission to the anomaly detection module. The anomaly detection module may be configured to normalize the blade clearance feature data received from the extraction module, analyze the blade clearance feature data to detect a shift in the clearance of the blade, and determine an abnormality of the blade based on the shift exceeding a predetermined shift threshold.

Abstract: A method is presented. The method includes the steps of generating rotation signals corresponding to a plurality of rotations of a rotor physically coupled to a plurality of blades, and determining peak voltages corresponding to the plurality of blades by applying time synchronous averaging technique to blade passing signals using the rotation signals, wherein the peak voltages are representative of clearances of the plurality of blades.

Abstract: A method for monitoring the health of one or more blades is presented. The method includes the steps of generating a signal representative of delta times of arrival corresponding to the rotating blade, generating a reconstructed signal by decomposing the signal representative of the delta times of arrival utilizing a multi-resolution analysis technique, wherein the reconstructed signal is representative of at least one of static deflection and dynamic deflection in the rotating blade.

Abstract: A system is disclosed. The system includes a processing subsystem that determines preliminary voltages corresponding to a plurality of blades based upon blade passing signals (BPS), 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.

Abstract: A method for monitoring the health of a plurality of blades is presented. The method includes determining delta TOAs corresponding to the plurality of blades, determining a standard deviation utilizing the delta TOAs corresponding to the plurality of blades, determining a delta sigma—1 utilizing the standard deviation and an initial standard deviation, determining a normalized delta TOA corresponding to one or more of the plurality of blades utilizing the delta sigma—1, determining a standard deviation of the normalized delta TOA, determining a delta sigma—2 utilizing the standard deviation of the normalized delta TOA and a previous standard deviation of normalized delta TOA, and determining a corrected delta TOA corresponding to the one or more of the plurality of blades based upon the delta sigma—2.

Abstract: A method for monitoring the health of one or more blades is presented. The method includes the steps of determining a delta TOA corresponding to each of the one or more blades based upon respective actual time of arrival (TOA) of the one or more blades, determining a normalized delta TOA corresponding to each of the one or more blades by removing effects of one or more operational data from the delta TOA, and determining 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 system is presented. The system includes a data acquisition system that generates time of arrival (TOA) data corresponding to a plurality of blades in a device, a central processing subsystem that determines features of each of the plurality of blades utilizing the TOA data, and evaluates the health of each of the plurality of blades based upon the determined features.

Abstract: A method for monitoring health of airfoils is disclosed. The method comprises generating at least one feature alarm for a blade by fusing a plurality of features corresponding to the blade utilizing a fuzzy inference method. The fuzzy inference method comprises generating a plurality of intermediate values by fusing one or more combinations of the plurality of features utilizing a fuzzy logic method, and fusing the plurality of intermediate values utilizing a second level fuzzy logic method, wherein the at least one feature alarm is representative of the health of the blade.

Abstract: A method for monitoring the health of one or more blades is presented. The method includes the steps of generating a signal representative of delta times of arrival corresponding to the rotating blade, generating a reconstructed signal by decomposing the signal representative of the delta times of arrival utilizing a multi-resolution analysis technique, wherein the reconstructed signal is representative of at least one of static deflection and dynamic deflection in the rotating blade.