General Electric Company

Ge Betz, Inc.

Rajashekar Venkatachalam

Manoharan Venugopal

Thomas James Batzinger

Debasish Mishra

Megha Navalgund

Nityanand Gopalika

Forrest Frank Hopkins

Xiaoming Liu

Robert August Kaucic

William Robert Ross

Vamshi Krishna Reddy Kommareddy

Brian W Lasiuk

Michael Robert Hopple

Mahesh Kumar Asati

Gokul Swamy

Sivaramanivas Ramaswamy

Joseph Manuel Portaz

Elizabeth Lockenberg Dixon

Christopher Jay Morse

Prasad Thapa

Prakash Mandayam Comare

Daniel Jay Scoville

Vamishi Krishna Reddy Kommareddy

This disclosure describes an apparatus and a system for inspection of deepwater assets, e.g., pipes and pipelines that traverse the ocean floor. In one embodiment, the apparatus includes a housing that retains a compensation fluid therein to form a fluidic environment. A digital detector resides in the fluidic environment. The digital detector can generate digital images in response to radiation that penetrate though the deepwater asset and impinges on components of the digital detector. In one embodiment, the digital detector utilizes one or more seal members to secure the components together. The seal members may be permeable and/or impermeable to the compensation fluid thereby preventing and/or permitting migration of the compensation fluid between certain components of the digital detector.

Apparatus and system for inspecting structures

A method for automatically identifying defects in turbine engine blades is provided. The method comprises acquiring one or more radiographic images corresponding to one or more turbine engine blades and identifying one or more regions of interest from the one or more radiographic images. The method then comprises extracting one or more geometric features based on the one or more regions of interest and analyzing the one or more geometric features to identify one or more defects in the turbine engine blades.

Method for automatic identification of defects in turbine engine blades

A method for processing a radiographic image of a scanned object is provided. The method comprises acquiring radiographic image data corresponding to a scanned object and identifying one or more regions of interest in the radiographic image data corresponding to the scanned object. The method further comprises performing an image-contrast comparison of the radiographic image data corresponding to the scanned object and one or more reference radiographic images, to identify one or more defects in the radiographic image data corresponding to the scanned object.

Method and system for identifying defects in a radiographic image of a scanned object

An imaging technique is provided for acquiring scatter free images of an object. The technique includes acquiring a plurality of projection images of the object using a source and a detector oriented at a plurality of projection angles relative to the object, and generating a plurality of scatter free projection images by correcting the plurality of projection images based on respective ones of a plurality of stored scatter images. The scatter images are generated and stored for each of the projection angles by positioning a scatter rejection plate between the object and the detector. The technique further includes reconstructing a three-dimensional image of the object based on the scatter free projection images.

Imaging system and method with scatter correction

A digital radiography imaging system for acquiring digital images of an object, and a method for transforming digital images into an absolute thickness map characterizing the object under inspection. The system includes a radiation source for directing radiation through a desired region of the object, and a radiation detector having a plurality of sensing elements for detecting radiation passing through the object. Numerical data generated from each sensing element is calibrated, for example by correcting for variations in radiation paths between the source and detector, by correcting for variations in the spatial frequency response (MTF) of the detector, by correcting for variations in the geometric profile of the object under inspection, and by correcting for material contained in and/or around the object. The calibrated data is processed in order to generate and display an absolute thickness map of the object. The calibration procedures are adapted for extracting a thickness map from both isotope sources and X-ray tube sources.

Converting a digital radiograph to an absolute thickness map

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Bengaluru, India

Rajashekar Venkatachalam