Rough Sets Method of Fault Diagnosis for Steam Turbine based on Incomplete Data
Lizhou Dai · Turbine Technology · 2004
Extracting rules from incomplete data are usually more difficult than extracting rules from complete data. In order to extract simple and effective diagnostic rules from incomplete data, a method to extract certain and possible rules for fault diagnosis from incomplete data based on rough sets is proposed in this paper. The method is processed on a vibration fault diagnosis example of steam turbine-generator set, and the diagnostic results show the feasibility of this method.