系统工程与电子技术
繫統工程與電子技術
계통공정여전자기술
SYSTEMS ENGINEERING AND ELECTRONICS
2015年
2期
354-359
,共6页
高维云模型%故障映射%故障预测%操纵面损伤
高維雲模型%故障映射%故障預測%操縱麵損傷
고유운모형%고장영사%고장예측%조종면손상
high dimensional cloud model%fault mapping%fault prediction%rudder damage
故障预测需要完成从状态空间到趋势空间再到故障空间的两个映射过程。为使后一个映射结果更为准确，在借鉴多元正态分布理论的基础上，提出了一种基于修正高维云的故障映射模型。采用能够描述论域相关程度的协熵和协超熵来代替原来的熵和超熵，从而更好地解决了多论域之间的相关性问题。利用修正高维云发生器组成的多规则推理系统建立故障映射模型，将趋势预测数据准确映射到故障空间，得到最终故障预测结果。为验证方法的有效性，针对飞机操纵面损伤故障进行了仿真和分析，仿真结果充分表明所提出的模型具有较高的映射精度和效率。
故障預測需要完成從狀態空間到趨勢空間再到故障空間的兩箇映射過程。為使後一箇映射結果更為準確，在藉鑒多元正態分佈理論的基礎上，提齣瞭一種基于脩正高維雲的故障映射模型。採用能夠描述論域相關程度的協熵和協超熵來代替原來的熵和超熵，從而更好地解決瞭多論域之間的相關性問題。利用脩正高維雲髮生器組成的多規則推理繫統建立故障映射模型，將趨勢預測數據準確映射到故障空間，得到最終故障預測結果。為驗證方法的有效性，針對飛機操縱麵損傷故障進行瞭倣真和分析，倣真結果充分錶明所提齣的模型具有較高的映射精度和效率。
고장예측수요완성종상태공간도추세공간재도고장공간적량개영사과정。위사후일개영사결과경위준학，재차감다원정태분포이론적기출상，제출료일충기우수정고유운적고장영사모형。채용능구묘술론역상관정도적협적화협초적래대체원래적적화초적，종이경호지해결료다론역지간적상관성문제。이용수정고유운발생기조성적다규칙추리계통건립고장영사모형，장추세예측수거준학영사도고장공간，득도최종고장예측결과。위험증방법적유효성，침대비궤조종면손상고장진행료방진화분석，방진결과충분표명소제출적모형구유교고적영사정도화효솔。
Fault prediction needs to complete two mapping processes,one is from state space to trend space,and the other is from trend space to fault space.To make the latter mapping results more accurately,a fault mapping model based on correction high dimensional cloud is proposed on the basis of multivariate normal distribution theory.Entropy and hyper entropy are replaced by covariance entropy and covariance hyper-entropy in the correction cloud model,which are used to describe the correlation of some domains.The fault mapping model is constructed by the multi-rule-based reasoning system composed of the correction high dimensional cloud generators.Finally,the trend prediction values are mapped to the fault space accurately to generate the final prediction results.In order to verify the validity of the model,the simulation and analysis of rudder damage are performed.The results demonstrate the proposed model has high mapping precision and efficiency.
