General Electric Company

Infosys Limited

Sandeep Kumar Dewangan

Sivaramanivas Ramaswamy

Thomas James Batzinger

Kenneth Gordon Herd

Yuri Alexeyevich Plotnikov

Ui Won Suh

Changting Wang

James Norman Barshinger

Curtis Wayne Rose

Shridhar Champaknath Nath

William Stewart McKnight

Jian Ying Li

Gigi Olive Gambrell

Carl Stephen Lester

Dinesh Mysore Siddu

Anandraj Sengupta

Rajesh Balakrishnan

Venugopal Subbarao

Veera Venkata Ravi Kumar Geddam

Amitabha Dutta

Gopichand Katragadda

Preeti Pisupati

Devaraja Holla Vaderahobli

Peyush Kumar Mishra

Sambasiva Rao Maddali

Dipayan Mitra

Narendhar Rao Soma

Paras Sachdeva

Prakash Dhake

Manish Verma

Larry Joesph Rubenacker

A framework for supporting one or more repair processes of one or more aircraft. The repair processes are based on repair information or repair solution corresponding to the damages to one or more structural components of the aircraft. The framework includes a knowledge engine, and a deployment engine. The knowledge engine automatically generates one or more knowledge interpretation systems based on the user inputs. The knowledge interpretation systems provide the repair information corresponding to the various structural components of the aircraft based on the user inputs. The deployment engine fulfills the deployment requirements corresponding to the one or more knowledge interpretation systems.

Framework for supporting repair processes of aircraft

A method and system for calculating pipeline integrity business risk score for a pipeline network is provided. The method includes a step of first calculating a structural risk score, an operational risk score and a commercial risk score for each pipeline segment in a pipeline network. The method further includes calculating pipeline integrity business risk score for each pipeline segment. The structural risk score, operational risk score, commercial risk score and pipeline integrity business risk score for each pipeline segment is rolled-up to calculate the respective risk scores of a pipeline network. The rolled-up risk scores are calculated by computing weight factors for each pipeline segment, relative risk scores weight of each pipeline segment and relative risk scores contribution of each pipeline segment. The system of the invention comprises executable files, dynamic linked libraries and risk score computing modules configured to display the risk scores using a dashboard.

System and method for calculating a comprehensive pipeline integrity business risk score

A method for detecting small cracks and other anomalies on parts having complex geometries is disclosed. The method includes eddy current inspection incorporating collection of data from multi-frequency eddy current signals. Phase analysis is used to combine the multi-frequency data to enhance the signal to noise ratio of the raw inspection image. The image is then reprocessed using a spatiotemporal filter to correlate with the frequency components of the eddy current flaw signal to separate signals associated with cracks and other flaws at edges that would ordinarily be hidden by edge effect signals.

Multi-frequency image processing for inspecting parts having complex geometric shapes

In accordance with one embodiment, the present technique provides a testing apparatus for testing material integrity of an object. The exemplary testing apparatus includes a phased array transducer, which is disposed external to the object. The phased array transducer is configured to transmit a first set of ultrasonic signals and to receive a second set of ultrasonic signals. The testing apparatus further includes logic circuitry coupled to the phased array transducer. The logic circuitry is configured to dynamically control apertures for transmitting the first set of ultrasonic signals and receiving the second set of ultrasonic signals based on a region of interest and a testing speed.

Method and apparatus for phased array based ultrasonic evaluation of rail

A method and apparatus for estimating a depth of a crack from ultrasound scan data are provided. The method includes mapping multiple amplitude responses from the ultrasound scan data, each mapped amplitude response being representative of a signal from one of the sensors. The method further includes locating multiple linear responses among the mapped amplitude responses, each linear response being an indicator of a reflected signal from the crack. One or more sensor that corresponds to the linear responses from a given crack is identified. The depth of the crack is estimated using data from the identified sensors.

Method and system for inspecting objects using ultrasound scan data

A method and system for detecting weld signatures from an ultrasound scan data obtained from scanning a pipeline is provided. The method includes a step for mapping multiple amplitude responses from the ultrasound scan data, each amplitude response being representative of a respective sensor signal. Continuous amplitude responses are located from the amplitude responses and corresponding signatures are identified for the continuous amplitude responses. The method also includes a step for tagging the corresponding signatures as weld signatures.

Method and system for inspecting flaws using ultrasound scan data

A pulsed eddy current sensor probe includes a sensor array board. A number of sensors are arranged on the sensor array board and are operable to sense and generate output signals from the transient electromagnetic flux in a part being inspected. Each of the sensors has a differential output with a positive and a negative output. At least one drive coil is disposed adjacent to the sensors and is operable to transmit transient electromagnetic flux into the part. A first and a second multiplexer are arranged on the sensor array board and are operable to switch between the sensors. The first and second multiplexers are connected to the positive and negative outputs of the sensors, respectively.

Pulsed eddy current sensor probes and inspection methods

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Bengaluru, India

Sandeep Kumar Dewangan