Event-driven fault diagnosis framework for automotive systems
US8301333B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 24, 2010 |
| Grant date | Oct 30, 2012 |
| Priority date | — |
| Expiry date | Jan 18, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B23/0275
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Systems and methods for capturing and analyzing significant parameter data from vehicle systems whenever a diagnostic trouble code (DTC) is triggered. A multi-dimensional matrix is constructed, with vehicles, DTCs, and parameter data comprising three dimensions of the matrix. The data matrix is populated with DTC and parameter data from many different vehicles, either when vehicles are taken to a dealer for service, or via wireless data download. Time can be added as a fourth dimension of the matrix, providing an indication of whether a particular system or component is temporally degrading. When sufficient data is accumulated, the data matrix is pre-processed, features are extracted from the data, and the features are classified, using a variety of mathematical techniques. Trained classifiers are then used to diagnose the root cause of any particular fault signal, and also to provide a prognosis of system health and remaining useful life.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.