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

US8095261B2 · kind B2 · utility

Assignee

• GM GLOBAL TECHNOLOGY OPERATIONS LLC · US

Inventors

• Mark N. Howell · Rochester Hills, US
• Mutasim A. Salman · Rochester Hills, US
• Xidong Tang · Royal Oak, US
• Yilu Zhang · Northville, US
• Xiaodong Zhang · Pittsburgh, US
• Yuen-Kwok Chin · Troy, US
• Soumen De · Bengaluru, IN
• Debprakash Patnaik · Bengaluru, IN
• Sabyasachi Bhattacharya · Somerville, US
• Pulak Bandyopadhyay · Rochester Hills, US
• Balarama V. Murty · Beverly Hills, US
• Ansaf I. Alrabady · Livonia, US
• Rami I. Debouk · Dearborn, US
• Steven W. Holland · Saint Clair, US
• George P. Montgomery, Jr. · Troy, US

Key dates

• Filing date: Mar 5, 2009
• Grant date: Jan 10, 2012
• Expiry date: Jun 3, 2030

Classification

• Technology area (CPC G): Physics
• CPC primary: G07C5/085
• WIPO field: Control
• WIPO sector: Instruments

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.