Title :
Fault Diagnosis of Reverse Osmosis System for Chemical Water Treatment in Power Plant Based on FMEA and Rough Set Theory
Author :
Dong, Yuliang ; Gu, Yujiong ; Li, Yaqiong ; Yang, Kun
Author_Institution :
Key Lab. of Condition Monitoring & Control for Power Plant Equip. of Minist. of Educ., North China Electr. Power Univ., Beijing
Abstract :
Aiming at the problem of redundant symptoms and incomplete information when diagnosing the fault of reverse osmosis system for chemical water treatment in power plant using the result of failure mode and effect analysis. A fault diagnosis method of RO system is proposed based on rough set theory. By analyzing the classical failure modes of RO system, fault diagnosis decision table is built, then fault symptom attributes reduction is made, and the fault diagnosis rules are gained. An instance analysis of a RO system is made, the result shows that this method is feasible and effective and can fulfil the fault diagnosis of RO system and can be a support for making decision for cleaning and maintenance
Keywords :
decision tables; failure analysis; fault diagnosis; osmosis; power plants; rough set theory; water treatment; chemical water treatment; failure mode and effect analysis; fault diagnosis decision table; fault symptom attributes reduction; power plant; reverse osmosis system; rough set theory; Chemical analysis; Condition monitoring; Control systems; Failure analysis; Fault diagnosis; Information analysis; Laboratories; Power generation; Reverse osmosis; Set theory; FMEA; chemical water treatment; fault diagnosis; reverse osmosis system; rough set;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714140