Gm Global Technolgoy Operations, Inc.

General Electric Company

Indian Institute of Technology Kharagpur

Soumen De

Pulak Bandyopadhyay

Yilu Zhang

Mutasim Abdurrahman Salman

Steven W Holland

Dnyanesh Rajpathak

Yuen-Kwok Chin

Vinay Bhaskar Jammu

Xidong Tang

Mark N Howell

Xiaodong Zhang

Rahul G Chougule

Sugato Chakrabarty

Sabyasachi Bhattacharya

Debprakash Patnaik

Prakash M Peranandam

Ansaf Ibrahem Alrabady

Achalesh Kumar Pandey

Balarama Vempaty Murty

Prakash Mohan Peranandam

Ramesh Sethu

John Anthony Cafeo

Eamon Patrick Gleeson

Catherine Mary Graichen

Andreas Kirchner

Ajay Kumar Behera

Rami I Debouk

Ravi Yoganatha Babu

Mahesh Amritlal Morjaria

Richard John Rucigay

Pattada A Kallappa

Douglas Ancona Catharine

Andrea M Simon

Arnim Smolenski

Joseph A Donndelinger

Somnath Sengupta

George Paul Montgomery, Jr

Aurélie Bureau

Viany Bhaskar Jammu

Kay L Darden

Siddhartha Mukhopadhyay

Alok Kanti Deb

Aurelie Bureau

Viktor Weimer

A system and method for extracting a relevant phrase from text. The system and method may build a plurality of n-gram phrases using a seed from a seed list as a start, a middle, or an end of each n-gram phrase. The seed list may be directed to a specific vehicle system and each seed may indicate a symptom, part, or action to extract relevant phrases from vehicle information verbatims. The plurality of n-gram phrases may be filtered to obtain one or more relevant phrases. The filtering process may include calculating an external relevance factor, an internal relevance factor, or a context pattern relevance factor.

Phrase extraction text analysis method and system

A system and method of analyzing content of multilingual vehicle diagnostic records includes: determining a word window within a vehicle diagnostic record; identifying a pair or a tuple comprising parts, symptoms, or actions; generating a plurality of pairs or tuples comprising parts, symptoms, or actions; determining a frequency value for each pair or tuple; and comparing the determined frequency value with a predetermined threshold.

Analyzing multilingual diagnostic records

A method of automatic identifying linking relationships of requirements in a plurality of requirement documents. Terms in the plurality of requirement documents are identified. A part-of-speech tag is assigned to each term. Each identified term is selected as a focal term. Co-occurring terms within a predetermined distance of the selected focal term are determined. A linking relationship probability is calculated for each co-occurring term associated with the selected focal term. The selected focal terms and associated co-occurring terms between the plurality of requirement documents are compared. A degree of linking relationship is identified between two requirements as a function of a comparison between selected focal terms and the associated co-occurring terms between the plurality of requirement documents. An analysis report identifying the degree of linking relationships between two respective requirements is output.

Automatic linking of requirements using natural language processing

A method of automatically developing an ontology for product function and failure mode documentation for an apparatus. The apparatus is identified. A function-flow model is generated for the identified apparatus for identifying a composite structure of the apparatus. Functions and failure modes associated with the identified apparatus are enumerated. Failure data is obtained from a plurality of heterogeneous data sources. A semantic similarity module is applied to the enumerated failures by comparing a plurality of documents between the data sources. The semantic similarity module bridges a variety of terms used in the heterogeneous data to describe a respective failure. Failures associated with the enumerated apparatus functions are extracted from the plurality of documents between heterogeneous data sources. A composite of related terminology is generated for each identified failure mode. A failure mode information document is generated utilizing the composite of related terminology for each identified failure mode.

Function-based method for classifying and fusing system behavior information in product development

A method and system for using Equivalent Time Sampling to improve the effective sampling rate of sensor data, and using the improved-resolution data for diagnosis and control. Data samples from existing sensors are provided, where the sampling rate of the existing sensors is not sufficient to accurately characterize the parameters being measured. High-resolution data sets are reconstructed using Equivalent Time Sampling. High-resolution input data sets are used in a system model to simulate the performance of the system being measured. Results from the system model, and high-resolution output data sets from Equivalent Time Sampling, are provided to an estimator, which provides accurate estimation of measured quantities and estimation of quantities not measured. Output from the estimator is used for fault diagnosis and control of the system being measured.

State estimation, diagnosis and control using equivalent time sampling

A method is provided for enhancing service diagnostics utilizing service repair data of previously serviced vehicles. Service repair data of previously serviced vehicles is obtained from a memory storage device. The service data is compiled into a service diagnostic code dataset and a service labor code dataset. The service diagnostic code dataset and service labor code dataset are categorized into an electronic data table. Respective combinations are formed in the electronic data table. An aggregate count is determined for each respective combination in the electronic data table. Either of a respective diagnostic code or a respective service labor code is identified having a correlation with more than one of either service diagnostic codes or service labor codes. At least one of a service repair procedure used to repair the vehicle or a respective service diagnostic code used to identify the fault is modified in response to analyzing the respective combinations.

Process for service diagnostic and service procedures enhancement

An integrated diagnosis and prognosis system that collects vehicle information over the life of a vehicle and its development. The system provides the collected vehicle information to supplier management, product development management, service/dealership management, customer relations departments and production facilities, which use the information to take certain action for existing vehicles, fleets of vehicles or future vehicles to improve vehicle reliability and quality.

Integrated diagnosis and prognosis system as part of the corporate value chain

A Monitoring and Diagnostics System is provided, which includes a monitoring unit and a monitored unit remotely located from the monitoring unit. The System also includes communication means between the monitoring unit and the monitored unit. The monitored unit includes data acquisition means for providing fault data of the monitored unit and the communication means are adapted to communicate the fault data from the monitored unit to the monitoring unit. The monitoring unit includes a rules engine having a set of expert rules for analyzing the information contained in the fault data and being adapted to deduce diagnostics information from the rules and from the information. In addition, a communication method for communicating between a first Programmable Logic Controller and a second Programmable Logic Controller or a central unit is provided, in which a description file is provided.

Automatic remote monitoring and diagnostics system

A system and method for enhancing vehicle diagnostic and prognostic algorithms and improving vehicle maintenance practices. The method includes collecting data from vehicle components, sub-systems and systems, and storing the collected data in a database. The collected and stored data can be from multiple sources for similar vehicles or similar components and can include various types of trouble codes and labor codes as well as other information, such as operational data and physics of failure data, which are fused together. The method generates classes for different vehicle components, sub-systems and systems, and builds feature extractors for each class using data mining techniques of the data stored in the database. The method also generates classifiers that classify the features for each class. The feature extractors and feature classifiers are used to determine when a fault condition has occurred for a vehicle component, sub-system or system.

Aggregated information fusion for enhanced diagnostics, prognostics and maintenance practices of vehicles

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

Systems and methods for prediction of gas turbine trips due to component failures such as thermocouple failures. Exemplary embodiments include prediction of gas turbine trips due to component failures, including collecting raw gas turbine operational data and using the raw gas turbine operational data to generate a prognostic indicator for the prediction of a turbine trip due to the failed thermocouples.

System and method for prediction of gas turbine trips due to thermocouple failures

A method for monitoring and diagnosing the combustion dynamics of a gas turbine engine system includes mounting at least one sensor on an external surface of at least one combustor can, receiving a signal from the sensor mounted to the combustor can, validating an accuracy of the signal from the sensors, determining the combustion dynamics of the can based on the received signals, and generating an indication when a combustion dynamic threshold has been exceeded.

Methods and apparatus for monitoring gas turbine combustion dynamics

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Bengaluru, India

Soumen De