| 摘要 |
A diagnostic system is used for detecting the health condition of moving internal mechanical components in internal combustion engines. The system uses measurements of engine vibration and acoustic signals during cold or hot engine test. The system includes engine vibration and acoustic sensing, engine vacuum sensing, signal conditioning and pre-filtering, analog to digital conversion, advanced digital signal processing, and decision making. Engine vibration and acoustic signals are first amplified and then passed through a low-pass filter. The signals are then digitized and sent to a computer. An engine diagnostic software receives the digitized data and performs digital filtering to isolate signal parts that most influenced by each engine moving mechanical component of interest. Features are then extracted using statistical analysis and passed to a decision making inferences. The decision making inferences utilize fuzzy logic engines to fuse feature values and reach a conclusive decision about each component condition. The system is then summarizes all results and presents them to the operator.
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