General Electric Company

Nbcuniversal Media, LLC

Other

Feng Xue

Piero Patrone Bonissone

Weizhong Yan

Anil Varma

Kai F Goebel

Neil Holger White Eklund

Bernard Patrick Bewlay

Naresh Sundaram Iyer

Rajesh Venkat Subbu

Abha Moitra

Nicholas E Roddy

Mauricio Castillo-Effen

Joel Kenneth Klooster

Shaopeng Liu

Xiao Bian

Steven Matt Gustafson

Colin James Parris

Sergio Torres

Weiwei Chen

Joachim Karl Hochwarth

Hao Huang

Xiao Liang Hu

Walter Vincent Dixon, Iii

Byron Andrew Pritchard

Arpit Jain

Hai Qiu

James Kenneth Aragones

Yan Liu

Guolong Ni

Masako Yamada

Johan Michael Reimann

Gianni Mochi

Viswanath Avasarala

Mark Richard Gilder

Paul Alex Ardis

Yingchun Fu

Shourya Sarcar

Peihong Zhu

David Bianucci

Lorenzo Salusti

Alessio Fabbri

Alberto Pieri

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.

According to embodiments, a system, method and non-transitory computer-readable medium are provided to receive time series data associated with one or more sensors values of a piece of machinery at a first time period, perform a non-linear transformation on the time-series data to produce one or more nonlinear temporal embedding outputs, and projecting each of the nonlinear temporal embedding outputs to a different dimension space to identify at least one causal relationship in the nonlinear temporal embedding outputs. The nonlinear embeddings are further projected to the original dimension space to produce one or more causality learning outputs. Nonlinear dimensional reduction is performed on the one or more causality learning outputs to produce reduced dimension causality learning outputs. The learning outputs are mapped to one or more predicted outputs which include a prediction of one or more of the sensor values at a second time period.

Deep causality learning for event diagnosis on industrial time-series data

A method, system, and non-transitory computer-readable medium, the method including determining automatically, by a processor, whether behavior for a model representing a plurality of entities and relationships therebetween deviates from a reference behavior for the model; determining, in response to the determination that the model does deviate from the reference behavior, at least one basis for the deviation; automatically forecasting an estimate of a remaining useful life for the model; and modifying the model to compensate for the deviation by at least one of modifying the model to accommodate the deviation and updating the model based on at least one new requirement.

Method and system to automate the maintenance of data-driven analytic models

Method, system and computer software for diagnosing a compressor. The method includes generating a feature vector of the compressor, the feature vector of the compressor including components describing states of various parts of the compressor; determining, based on fuzzy constraints, an aggregated anomaly vector corresponding to the feature vector; defining rules for a preset list of possible faults/failure modes of the compressor; calculating a corroborating measure between the aggregated anomaly vector and the rules; and identifying a fault/failure mode of the compressor based on a result of the corroborating measure.

Method and system for diagnosing compressors

A method for determining fleet conditions and operational management thereof, performed by a central system includes receiving fleet data from at least one distributed data repository. The fleet data is substantially representative of information associated with a fleet of physical assets. The method also includes processing the received fleet data for the fleet using at least one process of a plurality of processes. The plurality of processes assess the received fleet data into processed fleet data. The method additionally includes determining a fleet condition status using the processed fleet data and the at least one process of the plurality of processes. The method further includes generating a fleet response. The fleet response is substantially representative of a next operational step for the fleet of physical assets. The method also includes transmitting the fleet response to at least one of a plurality of fleet response recipients.

Computer-implemented methods and systems for determining fleet conditions and operational management thereof

A method for analyzing data is disclosed that includes receiving an analysis request to analyze selected data corresponding to one or more monitored assets, wherein the analysis request includes one or more parameters corresponding to performance categories of computing resources for processing the analysis request, the performance categories include at least one of a time for processing the analysis request or a cost for processing the analysis request; determining a computing resource allocation plan for processing the analysis request based on the one or more parameters; and processing the analysis request using the determined computing resource allocation plan to provide analysis results. Also disclosed is an analytic router that includes a mapper, an estimator, an optimizer, and a resource provisioner.

System and method for receiving analysis requests and configuring analytics systems

One website mining embodiment is for characterizing first time users of a website, collecting user session data of the users visiting the website and identifying first time visitors, determining features of the first time visitors utilizing the user session data, determining rules utilizing the features of the first time visitors, monitoring actions of the first time visitors on the website, updating the rules utilizing the monitored actions of the first time visitors and recommending web content utilizing the rules to the first time visitor.

Method and system for mining websites

A method for analyzing data is disclosed that includes receiving an analysis request to analyze selected data corresponding to one or more monitored assets, wherein the analysis request includes one or more parameters corresponding to performance categories of computing resources for processing the analysis request; determining a computing resource allocation plan for processing the analysis request based on the one or more parameters; and processing the analysis request using the determined computing resource allocation plan to provide analysis results. Also disclosed is an analytic router that includes a mapper, an estimator, an optimizer, and a resource provisioner.

Methods and system are provided for scheduling and negotiating air traffic within an airspace surrounding an airport and scheduled to land at the airport. An air traffic control (ATC) system is used to monitor the altitudes, speeds and lateral routes of aircraft. The ATC system generates a scheduled time-of-arrival (STA) at one or more meter fix points associated with the airport, the STA is stored, and data is received or inferred with the ATC system for at least a first of the aircraft, including a minimum fuel-cost speed and predicted trajectory parameters of the first aircraft based on current values of its existing trajectory parameters. Auxiliary data, including earliest and latest estimated time-of-arrival (ETAmin) and (ETAmax) at the meter fix point, STA being within/ outside ETAmin, ETAmax are generated, instructions are transmitted to the first aircraft, and the STA is updated for each aircraft stored in a queue.

Methods and systems for managing air traffic

Methods and systems suitable for negotiating air traffic trajectory modification requests received from multiple aircraft that each has trajectory parameters. The methods include transmitting from at least a first aircraft a first trajectory modification request to alter the altitude, speed and/or lateral route thereof. A first conflict assessment is then performed to determine if the first trajectory modification request poses a conflict with the altitudes, speeds and lateral routes of other aircraft. If a conflict is not identified, the first trajectory modification request is granted and the first aircraft is notified of the first trajectory modification request being granted. Alternatively, if a conflict is identified, the first trajectory modification request is not granted and the first aircraft is notified thereof. If the first trajectory modification request was not granted, the first trajectory modification request is placed in a queue, which is periodically processed to perform subsequent conflict assessments.

The present invention provides a breather that includes a waterproof air-permeable membrane and a mounting device, the mounting device having a rod with a hollow structure and a head at one side of the rod. The head includes a bottom wall which has a circular bore in communication with the hollow portion of the rod and around which sidewalls are formed, several through holes being formed in the sidewalls, a fastening cover cooperating with the head with a chamber formed therebetween, wherein the waterproof air-permeable membrane is mounted inside the rod, and wherein the through hoes, the chamber and the circular bore communicatively connect the inside and outside of the breather.

Breather

Mining of websites that in one embodiment includes obtaining web usage data of user sessions of a website, wherein the website has a hierarchical structure with granular levels and has mapping from each webpage of the website into the hierarchical structure, mapping the user sessions to the hierarchical structure of the website resulting in hierarchical user sessions, initiating an edit distance metrics to determine similarity in the hierarchical user sessions, and clustering similar hierarchical user sessions into groups.

Methods and systems for mining websites

A method to predict remaining life of a target is disclosed. The method includes receiving information regarding a behavior of the target, and identifying from a database at least one piece of equipment having similarities to the target. The method further includes retrieving from the database data prior to an end of the equipment useful life, the data having a relationship to the behavior, evaluating a similarity of the relationship, predicting the remaining life of the target based upon the similarity, and generating a signal corresponding to the predicted remaining equipment life.

System and method for equipment remaining life estimation

A method to reduce uncertainty bounds of predicting a remaining life of a probe using a set of diverse models is disclosed. The method includes generating an estimated remaining life output by each model of the set of diverse models, aggregating each of the respective estimated remaining life outputs via a fusion model, and in response to the aggregating, predicting the remaining life, the predicting having reduced uncertainty bounds based on the aggregating. The method further includes generating a signal corresponding to the predicted remaining life of the probe.

Growing community of inventors

Clifton Park, NY, United States of America

Feng Xue