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Principal component analysis (PCA) has been found to be powerful in detecting sensor faults in multivariate processes, but it is inefficient in isolating faults due to its pure data-driven nature, especially when dealing with processes with strongly coupled multiple variables, such as the air-handling processes in typical variable air volume air conditioning systems. This paper presents an expert-based...
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