Transformation of Quantitative Measurements into Qualitative Values in Stochastic Qualitative Reasoning for Fault Detection

Papers 1

Fault detection by stochastic qualitative reasoning is an effective way for complex systems such as air conditioning systems. In this framework, the faulty part of a system can be identified by comparing the behavior derived by stochastic qualitative reasoning with the actual measured behavior. The latter is represented as the series of qualitative values that are obtained by classifying quantitative measurements into several qualitative categories based on a definition of the qualitative regions. The fault detection is often ineffective under the inappropriate definitions.