Application of Data Modelling to Fault Detection in an Internal Combustion Engine
author:
George Irwin,
Intelligent Systems, School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Queen's University Belfast
Description
This presentation describes the application of data modelling to fault detection in an internal combustion engine.
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| Slides | |
| 0:00 | Data Modelling - Automotive Engine Fault Detection |
| 1:24 | - Background – Legislation & Fault detection |
| 2:22 | Onboard Diagnostic Regulation |
| 3:58 | Diagnostic Monitoring Requirements |
| 4:33 | Types of Faults |
| 5:18 | Current Technology - 1 |
| 5:54 | Current Technology - 2 |
| 6:51 | Fines |
| 7:23 | Fault Monitors - 1 |
| 8:45 | Fault Monitors - 2 |
| 9:29 | Engine Monitoring - 1 |
| 11:51 | Engine Monitoring - 2 |
| 14:03 | - Data Collection – SI Automotive Engine |
| 14:12 | Project Structure |
| 18:31 | Faults |
| 19:05 | Data Collection - 1 |
| 19:43 | Data Collection - 2 |
| 20:32 | Data Collection - 3 |
| 21:49 | Data Collection - 4 |
| 22:30 | - Model Structure |
| 22:33 | Principal Component Analysis - 1 |
| 23:20 | Principal Component Analysis - 2 |
| 23:25 | Model Structure (Nonlinear PCA) |
| 25:15 | Model Structure |
| 25:56 | Engine Control Unit |
| 26:51 | - Model Training |
| 26:54 | Training Data - 1 |
| 28:49 | Training Data - 2 |
| 32:12 | Training Data - 3 |
| 33:10 | Training Data - 4 |
| 33:51 | Training Data - 5 |
| 34:28 | Training Data - 6 |
| 35:06 | Training Data - 4 |
| 35:16 | Training Data - 7 |
| 35:30 | - Results 1 - Fault Detection |
| 36:16 | Air Leak Fault |
| 36:29 | Results 1 – Mass Air Flow |
| 38:05 | Results 1 – Manifold Pressure |
| 38:49 | - Questions |
| 40:13 | Results 1 – Q Statistic |
| 48:26 | - Questions |
| 57:08 | Data Modelling for Automotive Diagnostics |
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