A rough sets approach to malfunction diagnosis on air-conditioning system
Jing Nang Lee, Sheu Hua Chen, Hong Tau Lee · Journal of Information and Optimization Sciences · 2013
In order to effectively diagnose faults causing, this paper purposes a simplified approach for diagnosing air conditioning system which is based on rough sets theory. This approach focuses on the relationship between the reasons of causing fault and associated symptoms. By converting the reasons and symptoms to condition and decision attributes respectively, the decision table based on the rough set theory can be built and the reducing process can figure out the core symptoms from the decision table for each reason. Finally, possible reasons can be diagnosed while the specific set of core attributes of symptom occurred. This is a simplified way of avoiding the testing of all the items that are usually used in the traditional method of determining the fault cause.