Event-driven fault diagnosis framework for automotive systems

Abstract

The invention relates to an event-driven fault diagnosis framework for automotive systems. Systems and methods are used 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.

Description

technical field [0001] The present invention relates generally to systems and methods for diagnosing fault conditions in a vehicle, and more particularly to acquiring operational parameter data and applying mathematical models to the parameter data and DTC whenever a diagnostic trouble code (DTC) is triggered in the vehicle A system and method for diagnosing the cause of a fault condition. Background technique [0002] Modern vehicles are complex electrical and mechanical systems employing many components, devices, modules, subsystems, etc., which use complex algorithms and data buses to pass operational information between each other. As with anything, these types of devices and algorithms are susceptible to errors, failures and malfunctions that affect the operation of the vehicle. When such errors and faults occur, the affected device or component will typically issue a fault code, such as a Diagnostic Trouble Code (DTC), which is received by one or more system controlle...

AI Technical Summary

Problems solved by technology

This often makes it difficult to diagnose the true root cause of a problem based solely on DTC values

This can lead to failure to detect or repeat the problem while the vehicle is being serviced, which leads to customer dissatisfaction, increased future warranty costs and missed opportunities to improve system design based on real world fault codes

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