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Automatic detection of process faults requires process expertise to determine the fault symptoms and mathematical algorithms that can classify these symptoms correctly. Thus, the effectiveness of any automatic detection system can degrade because of inconsistencies in the process data and variations in the assumed symptoms of the fault. This paper presents a novel detection strategy based on the data...
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