General Electric Company

Ge Global Sourcing LLC

Vetco Gray Scandinavia As

Ajay Kumar Behera

Aninda Bhattacharya

Vivek Venugopal Badami

Venkatesh Rajagopalan

Rahul Srinivas Prabhu

Vinay Bhaskar Jammu

Nidhi Naithani

Mahesh Raveendranatha Panicker

Prashanth D'Souza

Bret Dwayne Worden

Achalesh Kumar Pandey

Matthew John Malone

Mohamed Ahmed Ali

Robert Phillips

John Joseph Madelone, Jr

Soumen De

Nicholas Josep Ellson

Sudhanshu Rai

Venkatarao Ryali

Wrichik Basu

Anne M Isburgh

Mahalakshmi Shunmugham Balasubramaniam

Christopher Taylor Herman

Khan Mohamed Khirullah Genghis Khan

Bhasker Rao Keely

Luis Armando Sanchez Del Valle

Renhua Wang

Arwa Hatim Ginwala

Mahalakshmi Shunumugam Balasubramaniam

Mahalakshmi Shunmugam Balasubramaniam

Sudipta Mal

Shivanand Bhavikatti

Kenneth Brian Bassett

Sudeep Gowrishankar

Suleman Khoja

Chaochao Chen

Omprakash Velagandula

Ali Osman Ayhan

Budhaditya Hazra

Andrew Clarke

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.

Methods and systems for monitoring health of a valve

Embodiments of the disclosure can relate to bearing health monitoring in power plants. In one embodiment, a computer-implemented method for bearing health monitoring in power plants can include receiving operational data associated with a power plant component. The method may further include receiving training data from one or more power plants. The method may further include determining a signature associated with an anomaly event of the power plant component, based at least in part on the operational data and the training data. The anomaly event of the power plant component may include a wiping of a bearing or a scoring of a bearing. The method can further include generating (1) an alert indicative of the anomaly event or (2) an alert to modify an inspection interval for the power plant component, based at least in part on a comparison of the signature with a threshold signature. The method can further include generating a repair or inspection recommendation for the power plant component, based at least in part on the comparison.

Systems and methods for bearing health monitoring in power plants

Various methods and systems are provided for detecting a change in turbocharger performance. In one example, a method comprises determining a level of turbocharger imbalance based on output from a turbine speed sensor and generating a signal related to a change in a performance level of the turbocharger if the level of turbocharger imbalance is greater than a threshold.

Methods and system for a turbocharger

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.

Methods and systems to monitor health of rotor blades

An embodiment of a method for lifespan modeling for a turbine engine component includes determining a design-phase model of the lifespan of an turbine engine component; fusing the design-phase model with sensor data collected during operation of the turbine engine component to produce an updated model of the lifespan of the turbine engine component; and fusing the updated model with data collected during an inspection of the turbine engine component to produce an overall model of the lifespan of the turbine engine component. Systems for lifespan modeling for a turbine engine component are also provided.

Physics-based lifespan modeling

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.

Methods and systems for monitoring health of blades

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.

System and method for monitoring health of airfoils

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.

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 sigmautilizing 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, determining a standard deviation of the normalized delta TOA, determining a delta sigmautilizing 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

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.

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.

A system for rotor blade health monitoring include time of arrival (TOA) sensors and a controller comprising a processor configured for obtaining TOA signals indicative of times of arrival of rotating rotor blades from the respective TOA sensors and for determining initial features from the TOA signals; and a feature level fuser configured for fusing the initial features received from the processor for use in evaluating health of the rotating rotor blades.

System and method for rotor blade health monitoring

A gearbox life estimation system includes a single sensor or multiple sensors configured for obtaining field operational data related to loading of a gearbox from a single gearbox component or different gearbox components. The system further includes a processor configured for receiving signals representative of the field operational data from the sensors, for providing calculated operational load data for the gearbox components based on the field operational data, and for providing an estimate of remaining life of gearbox using the calculated operational load data.

Method and system for estimating life of a gearbox

Growing community of inventors

Karnataka, India

Ajay Kumar Behera