计算机与数字工程
計算機與數字工程
계산궤여수자공정
Computer and Digital Engineering
2015年
11期
1955-1958,1997
,共5页
尚跃庭%公聪聪%王振业%宋文云
尚躍庭%公聰聰%王振業%宋文雲
상약정%공총총%왕진업%송문운
扫雷车%损伤树%损伤定位%证据理论%BP 神经网络%特征提取%证据转化
掃雷車%損傷樹%損傷定位%證據理論%BP 神經網絡%特徵提取%證據轉化
소뢰차%손상수%손상정위%증거이론%BP 신경망락%특정제취%증거전화
mine car%damage tree%damage localization%theory of evidence%BP neural etwork%feature extraction%transformation of evidence
为解决装备损伤的快速定位问题,论文提出了基于 D-S 证据理论的损伤定位方法。该方法以损伤树单位置损伤定位为基础,将证据理论与 BP 神经网络结合,通过建立损伤事件对应损伤位置的证据集合实现多位置损伤定位。为了解决证据理论需要已知先验概率的问题,利用 BP 神经网络将平时维修得到的有效信息和专家经验相结合,训练确定出新的概率分配,并融入到建立好的证据体集合中,从而更高精准度地损伤定位信息。应用该方法的关键问题是损伤特征的提取和证据的转化。
為解決裝備損傷的快速定位問題,論文提齣瞭基于 D-S 證據理論的損傷定位方法。該方法以損傷樹單位置損傷定位為基礎,將證據理論與 BP 神經網絡結閤,通過建立損傷事件對應損傷位置的證據集閤實現多位置損傷定位。為瞭解決證據理論需要已知先驗概率的問題,利用 BP 神經網絡將平時維脩得到的有效信息和專傢經驗相結閤,訓練確定齣新的概率分配,併融入到建立好的證據體集閤中,從而更高精準度地損傷定位信息。應用該方法的關鍵問題是損傷特徵的提取和證據的轉化。
위해결장비손상적쾌속정위문제,논문제출료기우 D-S 증거이론적손상정위방법。해방법이손상수단위치손상정위위기출,장증거이론여 BP 신경망락결합,통과건립손상사건대응손상위치적증거집합실현다위치손상정위。위료해결증거이론수요이지선험개솔적문제,이용 BP 신경망락장평시유수득도적유효신식화전가경험상결합,훈련학정출신적개솔분배,병융입도건립호적증거체집합중,종이경고정준도지손상정위신식。응용해방법적관건문제시손상특정적제취화증거적전화。
To solve the problem of rapid positioning problem of equipment damage ,the damage location method is put forward based on D-S evidence theory .This method is to unit based on the damage location ,damage tree combination of evi-dence theory and BP neural network ,through the establishment of damage events corresponding to the damage location of ev-idence collection to locate the damage .In order to solve the problem of evidence theory needs to be known a priori probabili-ty ,by using BP neural network will be the usual maintenance effective information and expert experience ,the combination of training a new probability distribution ,and good evidence is set up into the body in the collection ,and higher precision of damage location information .Application of this method is the key problem of the transformation of the feature extraction and evidence of damage .