초록 ▼

A system is disclosed for diagnosing faults in electronic control systems wherein a large volume of information is exchanged between the electronic control processor and a mechanical system under its control. The data is acquired such that parameter vectors describing the system operation are formed

A system is disclosed for diagnosing faults in electronic control systems wherein a large volume of information is exchanged between the electronic control processor and a mechanical system under its control. The data is acquired such that parameter vectors describing the system operation are formed. The vectors are provided to a pattern recognition system such as a neural network for classification according to the operating condition of the electronically controlled system. For diagnosis of electronically controlled engine operation, the parameters included in the vectors correspond to individual firing events occurring in the engine operating under a predetermined condition. The diagnostic system can be implemented as a service tool in an automotive service bay or can be implemented within the on-board electronic control system itself.

대표청구항 ▼

A method for identifying selected conditions in an electronically controlled automotive system comprising the steps of: conducting a plurality of system operating trials using a test system, each trial including at least one respective one of a plurality of known selected conditions; collecting syst

A method for identifying selected conditions in an electronically controlled automotive system comprising the steps of: conducting a plurality of system operating trials using a test system, each trial including at least one respective one of a plurality of known selected conditions; collecting system operating data during said operating trials corresponding to a plurality of system parameters, said operating data including signals passing to and from an electronic control; inputting said system parameters and corresponding known system fault identities as training vectors to a trainable pattern recognition system; recursively adjusting said pattern recognition system to converge to a configuration of said pattern recognition system for matching input vectors with said system fault identities; conducting a system operating trial using a system to be diagnosed; collecting system diagnostic data corresponding to said plurality of system parameters; and inputting said system parameters based on said diagnostic data as input vectors to said pattern recognition system to identify said selected conditions.