SYSTEM AND METHOD FOR PROCESSING TEST MEASUREMENTS COLLECTED FROM AN INTERNAL COMBUSTION ENGINE FOR DIAGNOSTIC PURPOSES

摘要

A system and method for processing test measurements collected from an internal combustion engine that is cold-tested for diagnostic purposes. Test measurements are collected from an engine. The test measurements are "preprocessed" by filtering and subsampling techniques so that Principal Component Analysis can be applied to condense the quantity of test measurements while still retaining a statistically accurate indication of a majority of the original measurements. The pre-processed test measurements are then passed through one or more classifiers including: a Neural Network classifier, a Fuzzy Logic classifier, a cluster-based classifier (or "Spherical"classifier) and a Genetic Program classifier. Results from these classifiers canbe used to obtain a verdict about an engine (i.e., whether the engine is "normal" or "faulty").