合肥工业大学学报(自然科学版)
閤肥工業大學學報(自然科學版)
합비공업대학학보(자연과학판)
JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY(NATURAL SCIENCE)
2015年
7期
906-913
,共8页
佘维%杨慕%陈倩%沈碧波%叶阳东
佘維%楊慕%陳倩%瀋碧波%葉暘東
사유%양모%진천%침벽파%협양동
模糊离散事件系统%可观性%可诊断性%时间维度%不确定性
模糊離散事件繫統%可觀性%可診斷性%時間維度%不確定性
모호리산사건계통%가관성%가진단성%시간유도%불학정성
fuzzy discrete event systems (FDES )%observability%diagnosability%dimensionality of time%uncertainty
针对观测条件受限时的模糊离散事件系统(fuzzy discrete event systems ,FDES)故障诊断问题,文章提出一种以时间维度可观程度(observable degree in dimensionality of time ,ODDT )为基础的故障诊断器构造方法。根据观测信息中的时间属性建立时间约束图,并以时间证据合并的策略分析离散事件在时间维度上的可观性,从而获得FDES的时间信息全局状态;计算ODDT ,并用于分析 FDES的系统状态和故障可诊断程度。该方法可在观测条件受限以致故障事件链难以完全捕获的情况下,根据状态信息隐含的时间线索来辨识模糊事件并发现系统隐患。实例分析表明,相比于单纯依赖故障事件链分析的诊断方法,根据ODDT 构造的诊断器提高了系统的可诊断程度。
針對觀測條件受限時的模糊離散事件繫統(fuzzy discrete event systems ,FDES)故障診斷問題,文章提齣一種以時間維度可觀程度(observable degree in dimensionality of time ,ODDT )為基礎的故障診斷器構造方法。根據觀測信息中的時間屬性建立時間約束圖,併以時間證據閤併的策略分析離散事件在時間維度上的可觀性,從而穫得FDES的時間信息全跼狀態;計算ODDT ,併用于分析 FDES的繫統狀態和故障可診斷程度。該方法可在觀測條件受限以緻故障事件鏈難以完全捕穫的情況下,根據狀態信息隱含的時間線索來辨識模糊事件併髮現繫統隱患。實例分析錶明,相比于單純依賴故障事件鏈分析的診斷方法,根據ODDT 構造的診斷器提高瞭繫統的可診斷程度。
침대관측조건수한시적모호리산사건계통(fuzzy discrete event systems ,FDES)고장진단문제,문장제출일충이시간유도가관정도(observable degree in dimensionality of time ,ODDT )위기출적고장진단기구조방법。근거관측신식중적시간속성건립시간약속도,병이시간증거합병적책략분석리산사건재시간유도상적가관성,종이획득FDES적시간신식전국상태;계산ODDT ,병용우분석 FDES적계통상태화고장가진단정도。해방법가재관측조건수한이치고장사건련난이완전포획적정황하,근거상태신식은함적시간선색래변식모호사건병발현계통은환。실례분석표명,상비우단순의뢰고장사건련분석적진단방법,근거ODDT 구조적진단기제고료계통적가진단정도。
Aiming at the fault diagnosis of fuzzy discrete event systems(FDES) under restricted obser-vation conditions ,a fault diagnosis device construction method based on observable degree in dimen-sionality of time(ODDT) is presented .The time constraint graph is established according to time at-tribute in the observation information ,and the strategy of time evidence combination is applied to e-valuating the observability of discrete event in dimensionality of time ,so as to acquire the time infor-mation global state of FDES .The ODDT is calculated and used to analyze the state and fault diagnos-ability of FDES .According to the time clue implied in state information ,the proposed method can trace fuzzy events and investigate insecure factors even if the observation conditions are restricted or the knowledge acquisition is incomplete .It is shown that ,compared with traditional diagnosis ap-proach based on fault event chain analysis ,the diagnosis device based on ODDT has higher diagnos-ability .