【摘要】 通常从不完备数据中获取规则要比从完备数据中获取规则困难,为了在故障诊断信息不完备的情况下提取简单有效的诊断规则,提出了一种从不完备数据中获取确定和不确定诊断决策规则的粗糙集方法。以某汽轮发电机组振动故障为例给出了该方法的具体实现过程,并验证了该方法的有效性。更多还原

【Abstract】 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.更多还原