Automotive Engineering Diagnostics

Professor: Yi Lu
Research Associate: Hong Guo
Research Assistant: Jacob Crossman

Dept. of Electrical and Computer Engineering
The University of Michigan - Dearborn
yilu@umich.edu
 
 
 

Introduction

Objective

Computational Framework
Signal Segmentation Using Wavelets
Automatic Feature Extraction
Automatic Feature Selection
Segment-based Fault Detection Using Fuzzy Logic
Signal Fault Detection Using Fuzzy Logic

Single Signal Agents
Case 1: RPM Hesitation
        Step 1: Segmentation
        Step 2: Feature Extraction/Selection
        Step 3: Fuzzy Training/Inference
        Step 4: Whole Signal Analysis

Engineering Knowledge on Signal Interaction
Multi-signal Agents
Multiple Signal Agents
Case 2: Rough Idle
        Results: Fuzzy Training Inference

ADSAS: A Tool for Interactive and Automatic Fault Diagnostics


Return to ADSAS