The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 10, 2012
Filed:
Mar. 05, 2009
Mark N. Howell, Rochester Hills, MI (US);
Mutasim A. Salman, Rochester Hills, MI (US);
Xidong Tang, Sterling Heights, MI (US);
Yilu Zhang, Northville, MI (US);
Xiaodong Zhang, Mason, OH (US);
Yuen-kwok Chin, Troy, MI (US);
Soumen DE, Bangalore, IN;
Debprakash Patnaik, Bangalore, IN;
Sabyasachi Bhattacharya, Bangalore, IN;
Pulak Bandyopadhyay, Bangalore, IN;
Balarama V. Murty, West Bloomfield, MI (US);
Ansaf I. Alrabady, Livonia, MI (US);
Rami I. Debouk, Dearborn, MI (US);
Steven W. Holland, St Clair, MI (US);
George Paul Montgomery, Jr., Beverly Hills, MI (US);
Mark N. Howell, Rochester Hills, MI (US);
Mutasim A. Salman, Rochester Hills, MI (US);
Xidong Tang, Sterling Heights, MI (US);
Yilu Zhang, Northville, MI (US);
Xiaodong Zhang, Mason, OH (US);
Yuen-Kwok Chin, Troy, MI (US);
Soumen De, Bangalore, IN;
Debprakash Patnaik, Bangalore, IN;
Sabyasachi Bhattacharya, Bangalore, IN;
Pulak Bandyopadhyay, Bangalore, IN;
Balarama V. Murty, West Bloomfield, MI (US);
Ansaf I. Alrabady, Livonia, MI (US);
Rami I. Debouk, Dearborn, MI (US);
Steven W. Holland, St Clair, MI (US);
George Paul Montgomery, Jr., Beverly Hills, MI (US);
GM Global Technology Operations LLC, Detroit, MI (US);
Abstract
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.