A
Joint Research Project with
Diagnostic R&D
Diagnostic Service Planning
Ford Motor Company
Signal Analysis for Advanced Vehicle Diagnostics
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A
Joint Research Project with |
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| This project attempts to develop and implement an
advanced intelligent system that is capable of analyzing diagnostic signals to predict
fault or no-fault signals. The goal of the project the progression towards the
delivery of a viable and realistic diagnostic tool(s). Ideally this tool(s) will be
delivered to the dealership technicians via the next dealer diagnostic tool WDS. Two major functions are involved in this system: |
| 1. | Recognition of Individual Signals: This function is to accurately identify good signals under a variety of actual vehicle dynamics, flagging those that are suspect. If a signal is not good then we must inspect why it is suspect. The goal is also to be able to identify automatically those "events" in signal recordings that lead to recognizing them as non-good (i.e. identifying them as suspect). |
| 2. | Multiple Signal Interactions: This function represents the interactions of signals, and recognizing the cause, effects, and relationships of signals on other signals. The goal of this function is to demonstrate the capability of recognizing whether events are symptoms or root causes, through applying formal diagnostic knowledge rules. |
| The research focus of the project includes signal analysis, automotive engineering knowledge, wavelet transform, fuzzy learning and neural networks. |
ADSAS (Advanced Diagnostic Signal Analysis System) |
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| UM-D Research Team: |
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| Ford Research Team: |
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