Title :
Improving Incremental Diagnosis with Choosing Measurement Order
Author :
Zhao, Xiangfu ; Ouyang, Dantong
Author_Institution :
Coll. of Math. Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
Abstract :
There may be many groups of candidate results after the step of candidate generation in model-based diagnosis. Hwee Tou Ng proposed the Inc-Diagnose approach to further reduce the candidate results. However, the efficiency of Inc-Diagnose may not be very good. Firstly, we give some correction of Inc-Diagnosis by applying it to a real example. Then, we propose an improved approach with choosing the order of measurements for incremental diagnosis. Example results show that our approach has better efficiency.
Keywords :
artificial intelligence; fault diagnosis; candidate generation; inc-diagnose approach; incremental diagnosis; measurement order; model-based diagnosis; Artificial intelligence; Heating; Pediatrics; Temperature measurement; Temperature sensors; incremental diagnosis; measurement order; model-based diagnosis;
Conference_Titel :
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-7669-5
Electronic_ISBN :
978-1-4244-7670-1
DOI :
10.1109/ISME.2010.22