General Electric Company

Shaopeng Liu

Charles Burton Theurer

Brandon Stephen Good

Robert Lee Wallace

Judith Ann Guzzo

Bernard Patrick Bewlay

David Grey Smith

Douglas Roy Forman

Xiao Bian

Colin James Parris

Li Zhang

Feng Xue

Masako Yamada

Todd Franklin Scarola

Huan Tan

Michael Joseph Dell'Anno

Walter Vincent Dixon, Iii

Byron Andrew Pritchard

John William Carbone

Arpit Jain

Patricia Denise Mackenzie

Yan Liu

Yakov Polishchuk

Viktor Holovashchenko

Lennart Bjorkesten

Mark Richard Gilder

Jeffrey LeMonds

Shourya Sarcar

Uttara Ashwin Dani

Erik Nils Patrik Franzen

Peihong Zhu

Peng Chu

A system for polishing a surface of a component includes a motorized apparatus including a body, a drive system coupled to the body, and an arm including a proximal end coupled to the body and a distal end opposite the proximal end. The motorized apparatus further includes a tool coupled to the distal end of the arm. The tool is configured to polish the surface of the component. The motorized apparatus also includes an actuator coupled to the arm. The system also includes a controller configured to position the tool relative to the component by positioning at least one of the body and the arm relative to the component to reach the target area on the component while maintaining a distance between the tool and the body that is less than a threshold distance. The threshold distance is less than a full reach of the arm and is determined to prevent vibrations of the tool and the arm from exceeding a predefined level.

Systems and methods for polishing component surfaces using polishing tool mounted on motorized apparatus

A method of inspecting a component using an image retrieval module includes storing an inspection image file in a memory and identifying a region of interest in the inspection image file. The method further includes accessing a database storing image files and determining feature vectors associated with the image files. The method also includes determining a hash code for each image file based on the feature vectors and classifying a subset of image files as relevant based on the hash codes. The method further includes sorting the subset of image files based on the feature vectors and generating search results based on the sorted subset of image files. The image retrieval module includes a convolutional neural network configured to learn from the determination of the feature vectors and increase the accuracy of the image retrieval module in classifying the image files.

Inspection systems and methods including image retrieval module

A method of inspecting a component includes storing at least one inspection image file in a memory and receiving a search request associated with the at least one inspection image file. The method also includes accessing a database including a plurality of image files, comparing the hash code of the at least one inspection image file to the hash code of each image file of the plurality of image files, and identifying a first subset of image files based on the hash code comparison. The method also includes comparing the feature data of the at least one inspection image file to the feature data of each image file of the first subset of image files and classifying a second subset of image files as relevant based on the feature data comparison. The method further includes generating search results based on the second subset of image files.

Systems and methods for facilitating proximity detection and location tracking using a hub or bridge are disclosed. An example apparatus is to receive a message from a beacon at a second location within a proximity area of the apparatus, the message indicative of the second location and identifying the beacon; and relay the message to a location server to determine asset location.

Hardware system for active RFID identification and location tracking

A method of inspecting a component using an image inspection controller that includes a processor communicatively coupled to a memory includes classifying each sample image in a first database as a first sample or a second sample using a classification module, extracting at least one class generic feature from each first sample to generate a plurality of class generic features, and extracting at least one class specific feature from each second sample to generate a plurality of class specific features. The method further includes combining the class generic features and the class specific features to generate a plurality of supplemental images. The method further includes storing the sample images and the supplemental images in a second database, classifying each sample image and each supplemental image, capturing at least one image of the component using a camera, and identifying at least one feature of the component in the at least one image of the component using the classification module.

Inspection systems and methods including image classification module

Methods, apparatus, systems and articles of manufacture are disclosed to facilitate proximity detection and location tracking. An example method includes receiving messages collected by a badge in an environment, the messages including signal strength and a timestamp. The example method also includes assigning a location in the environment to the badge based on a first subset of the messages. The example method also includes identifying an asset in a second subset of the messages. The example method also includes updating a current location associated with the asset based on a relative proximity of the asset to the badge, wherein the current location corresponds to a first time and the updated location corresponds to a second time, and wherein a change in location between the current location and the updated location indicates movement of the asset in the environment.

Methods and apparatus to facilitate proximity detection and location tracking

In various example embodiments, a system and method for facilitating proximity detection and location tracking using a mobile wireless bridge are provided. The system includes a beacon badge, a beacon tag, and a real-time location services ('RTLS') server communicatively coupled to the beacon badge, such as via a wireless network or the like. The beacon tag broadcasts a beacon message receivable by the beacon badge. The beacon badge determines whether it is proximate to the beacon badge based on the signal strength of the received beacon message. The beacon badge further communicates identifying information contained with the received beacon message to the RTLS server. The RTLS server uses the identifying information to determine the proximate location of the beacon badge.

Wireless bridge hardware system for active RFID identification and location tracking

A system and method for monitoring a condition of a marine riser including at least one subsea sensing and acoustic platform mechanically coupled to a riser joint of the marine riser. The at least one platform includes one or more sensors mechanically coupled to the riser joint and including plug-and-play sensor interface technology. The platform further includes a microprocessor configured to receive and analyze sensor data from the one or more sensors and provide pre-processed data representative of a determination of a condition of the riser joint. A memory module is provided including one or more software modules executable by the microprocessor and configured to provide data storage. The platform further includes an acoustic modem configured to receive the pre-processed data, communicate the condition to a topside acoustic transceiver in real-time and provide remote command configuration in response to the condition. An included power module provides power to the platform components.

Marine riser management system including subsea acoustic monitoring platform and an associated method

A system and method to detect an event associated with a first object relative to a second object and a support is provided. The system can include an antenna at a support to receive the first object, a tag reader in communication with the antenna and a tag located on the second object. In response to detecting a change in impedance of the antenna associated with the presence of the first object, the tag reader communicates a presence signal. In response to detecting the tag within a threshold proximity of the tag reader, the tag reader generates a tag signal. A remoter server is operable to detect an association of the first and second objects based on a comparison a time associated with each of the tag signal and the presence signal, and in response then creates an output indicative of a detected event based on the association for illustration.

System and method to detect an event associated with a person relative to a bed

In one aspect, a system for estimating fatigue damage in a riser string is provided. The system includes a plurality of accelerometers which can be deployed along a riser string and a communications link to transmit accelerometer data from the plurality of accelerometers to one or more data processors in real time. With data from a limited number of accelerometers located at sensor locations, the system estimates an optimized current profile along the entire length of the riser including riser locations where no accelerometer is present. The optimized current profile is then used to estimate damage rates to individual riser components and to update a total accumulated damage to individual riser components. The number of sensor locations is small relative to the length of a deepwater riser string, and a riser string several miles long can be reliably monitored along its entire length by fewer than twenty sensor locations.

System for estimating fatigue damage

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Clifton Park, NY, United States of America

Shaopeng Liu