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Abstract



Diagnosis of a compressed air system in a heavy vehicle


Compressed air has in the past been considered as a free resource in heavy vehicles. The recent years work to minimize fuel consumption has however made air consumption an interesting topic for the manufactures to investigate further. Compressed air has many different applications in heavy vehicles. One important consumer of compressed air is the brake system, which would not work at all without compressed air. The compressed air is produced by a compressor attached to the engine. A leakage in the system will force the compressor to work longer, which leads to an increased fuel consumption. It is of large interest to have a diagnosis system that can detect leakages, and if possible also provide information about where in the system the leakage is present. This information can then be used to repair the leakage at the next service stop. The diagnosis system that is developed in this thesis is based on model based diagnosis and uses a recursive least mean square method to estimate the leakage area. The results from the validation show that the algorithm works well for leakages of the size 1-10 litres/minute. The innovative isolation algorithm gives full fault isolation for a five circuit system with only three pressure sensors.

Martin Kågebjer

2011

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