Automatic generation the fault signature table due toclassification

The objective of this article is a hybrid approach which combines different techniques to obtain better diagnostic performance than the use of a single technique alone and demonstrates it on a two-tank system utilized as a Benchmark. The issue is to generate automatically a Fault Signature Table by combining the model-based and data-based approaches.