基于改进T-S模型的航空发动机振动值监控方法

Method of Aero Engine Quiver Monitoring Based on Improved T-S Model

针对T-S模型在规则库建立过程中存在的重复学习、效率低下等问题,采用模糊关联规则挖掘的方法对T-S模型进行改进;首先采用基于矩阵的模糊关联规则挖掘算法,深入分析和利用频繁项集的性质,减少数据库扫描次数以及挖掘过程中产生的中间结果,提高规则挖掘效率;其次,从挖掘结果中选取模糊规则,对其处理后建立T-S模型规则库;最后,将改进的T-S模型应用于航空发动机振动值监控中;实验结果表明,改进的T-S模型能够有效实现发动机振动监控。

Given defects of repetitive learning, inefficiency and so on during establishment of T--S model rule base, T--S model is im proved based on method of association rules mining. Firstly, it is adopted that fuzzy association rules mining algorithm based on matrices, which analyze further and utilize frequent items properties. Thus, with database scans and intermediate results generated reduced, efficiency of mining rules is prompted. Secondly, association rules abstracted from results are altered for establishment of T--S model rule base. At last, the improved T-- S model is applied to monitor aero engine quiver. Emulation experiments show the T-- S fuzzy model succeeds in moni- toring engine quiver.