CAJ | 학술논문

提出一种基于混合熵的用户设备电压暂降失事件组合不确定性评估方法。在研究组合不确定性评估模型与算法的基础上，根据实测样本数据特征，将组合不确定性分解为随机性、模糊性以及两者的交叉不确定性。以PC为例，并考虑到PC机在电压暂降前可能处于全速、空载和正常等运行状态，暂降后可能出现完全死机、运算出错和“假死”等失效状态，利用该方法进行失效率评估，并与现有概率、模糊等评估法进行比较，结果证明，该方法可克服传统方法中存在的过估计或欠估计问题，结果更符合工程实际。
제출일충기우혼합적적용호설비전압잠강실사건조합불학정성평고방법。재연구조합불학정성평고모형여산법적기출상，근거실측양본수거특정，장조합불학정성분해위수궤성、모호성이급량자적교차불학정성。이PC위례，병고필도PC궤재전압잠강전가능처우전속、공재화정상등운행상태，잠강후가능출현완전사궤、운산출착화“가사”등실효상태，이용해방법진행실효솔평고，병여현유개솔、모호등평고법진행비교，결과증명，해방법가극복전통방법중존재적과고계혹흠고계문제，결과경부합공정실제。
The paper proposes a method based on maximum hybrid entropy (MHE) to assess the uncertainty of equipment failure event caused by voltage sag. By considering the data characteristics of the tested samples, the combined uncertainty is decomposed into a random, a fuzzy, and a cross uncertainty. As a case study, PC is tested and assessed when it is in full speed, no-load and normal operation states. During voltage sags, PC is in different result states, such as completely crash, operating error, or false crash. The proposed method is applied to assess the failure rate and compared with existing probability methods and fuzzy methods. The results show that this method overcomes the disadvantages of over-estimating or low-estimating problem and it is more accurate in accord with the engineering practice.