Gm Global Technolgoy Operations, Inc.

George Paul Montgomery, Jr

Pulak Bandyopadhyay

Steven W Holland

Debprakash Patnaik

Yilu Zhang

Mutasim Abdurrahman Salman

Yuen-Kwok Chin

Ansaf Ibrahem Alrabady

Balarama Vempaty Murty

Mark N Howell

Xidong Tang

Xiaodong Zhang

Rami I Debouk

Soumen De

Sabyasachi Bhattacharya

Kootaala P Unnikrishnan

A vehicle fault diagnosis and prognosis system includes a computing platform configured to receive a classifier from a remote server, the computing platform tangibly embodying computer-executable instructions for evaluating data sequences received from a vehicle control network and applying the classifier to the data sequences, wherein the classifier is configured to determine if the data sequences define a pattern that is associated with a particular fault.

Fault prediction framework using temporal data mining

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

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Beverly Hills, MI, United States of America

George Paul Montgomery, Jr