海军航空大学,山东,烟台,264001
王丰(1985–),男,工程师,硕士,主要研究方向为系统仿真分析与计算机软件集成. E-mail:wangfeng850820@126.com
网络首发:2018-07-10,
纸质出版:2018
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王丰, 顾佼佼, 孙江, 林瑜. 传导过程元与过程元可拓集及其工程应用[J]. 广东工业大学学报, 2018, 35(5): 1-4.
Wang Feng, Gu Jiao-jiao, Sun Jiang, et al. Transmission Process Element and Process Element Extension Set and Its Engineering Application[J]. 2018, 35(5): 1-4.
王丰, 顾佼佼, 孙江, 林瑜. 传导过程元与过程元可拓集及其工程应用[J]. 广东工业大学学报, 2018, 35(5): 1-4. DOI: 10.12052/gdutxb.180026.
Wang Feng, Gu Jiao-jiao, Sun Jiang, et al. Transmission Process Element and Process Element Extension Set and Its Engineering Application[J]. 2018, 35(5): 1-4. DOI: 10.12052/gdutxb.180026.
对过程元的它传导过程元和过程元集进行了拓展分析与研究. 运用相关分析原理
对过程元与过程元之间的依赖和制约关系进行了分析. 当对随机过程在某时刻的过程元进行可拓变换时
由于过程元之间的相关性
会导致与其相关的另一时刻过程元发生传导变换
从而得出它传导过程元和它传导过程元的传导概率函数的概念. 将过程元和可拓集合理论相结合
给出了过程元可拓集的概念. 在此基础上
对其在工程领域中的应用进行了分析与研究.
An analysis is conducted into element's conduction process element and the process element set. The dependence and restriction relationship between process elements is analyzed by using the principle of correlation analysis. When the process element at a time is changed by extension transformation
the correlation between the process will lead to the conduction process
related to element transform another time
so that it gives concept of the conduction process and its conduction process element transmission probability function. By combining the process element and the set theory
the concept of process element extension set is given. On this basis
the application of it in the field of engineering is analyzed and studied.
孙玉东. 随机过程及其应用[M]. 西安: 西北工业大学出版社, 2016.
LU X H, ZUO H F. Optimization of inspection interval for civil aero-engine hot-section subassembly system based on semi-Markov model [J]. Journal of Aerospace Power, 217, 32(12): 2862-2871.
RUIZ-CASTRO J E. Preventive maintenance of a multi-state device subject to internal failure and damage due to external shocks [J]. IEEE Transactions on Reliability, 2014, 63(2): 646-660.
杨春燕, 蔡文. 可拓学[M]. 北京: 科学出版社, 2014: 21-78.
WANG F, ZHANG J C, LI R H. Process element on expansion of the random process's mean function and variance function[C]// Extenics and Innovation Methods-Proceedings of the International Symposium on Extenics and Innovation Methods. Beijing: [s. n.], 2013: 25-30.
WANG F, TIAN W, ZHU Q K. Two-dimensional random variable extension distribution model application in study of weapon system performance [J]. Ordnance Industry Automation, 2017, 36(3): 1-4, 13.
SHI K Q, WANG F Y, LIANG C, et al . A new wind speed prediction model based on random process considering autocorrelation [J ] . Power System Technology, 2017, 41(2): 529-535.
LI J H, LI C X, JIANG L, et al . A non-iterative approach for simulating multivariate non-gaussian fluctuating wind pressure [J ] . Journal of Shanghai Jiaotong University, 2017, 51(4): 462-469.
LI J H, LI J F, CHEN S S, et al . Numerical simulation of non-Gaussian stochastic process with time-varying power spectrum [J ] . Journal of Vibration and Shock, 2018, 37(2): 254-257.
HAN Q H, YE F, XU J. Review of random fatigue research in civil engineering [J]. Journal of Tianjin University(Science and Technology), 2016, 49(S1): 143-151.
胡倩倩. 基于内在价值理念的股票投资研究[D]. 广州: 广东工业大学应用数学学院, 2013.
SHI J L, ZHU S H, LU H J, et al . A research on the auto-correlation and cross-correlation function based on conductive transformation [J ] . Journal of Guangdong University of Technology, 2017, 34(1): 11-14, 39.
DENG G Q, QIU J, LI Z, et al . A survey on intermittent fault diagnosis technology [J ] . Ordnance Industry Automation, 2015, 34(1): 15-20.
SONG J B, ZHANG Z X. Modeling and applications of Markov stochastic process of Ca v1.2 ion channel [J ] . Journal of Xi’an Jiaotong University, 2018, 52(2): 1-7.
SHI Y, CHEN Z, SUN G Y, et al . Joint cost-based triangular fuzzy demand stochastic process model for two-level supply chain [J ] . Computer Engineering, 2017, 43(5): 306-312.
XU N, REN Z S, LI X. Numerical Simulation of random process of track irregularities with phase angle reconstruction method [J]. Journal of the China Railway Society, 2016, 38(11): 95-101.
李自琼, 李向东. 投入因素决定的随机过程存在性理论与仿真[J]. 统计与决策, 2014(23): 78-81.
WANG F, YUAN Y Z, ZHANG X C, et al . Application of conjugate analysis and conductivity in missile weapon system combat efficiency study [J ] . Ordnance Industry Automation, 2013, 32(11): 24-26.
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