sa ›› 2018, Vol. 23 ›› Issue (2): 250-255.doi: 10.1007/s12204-017-1901-x
XING Biao (邢彪), SONG Tailiang (宋太亮), CAO Junhai (曹军海),DONG Yuansheng (董原生), LI Kai (李锴)
出版日期:
2018-04-01
发布日期:
2018-06-19
通讯作者:
XING Biao (邢彪)
E-mail:xingbiao1988@163.com
XING Biao (邢彪), SONG Tailiang (宋太亮), CAO Junhai (曹军海),DONG Yuansheng (董原生), LI Kai (李锴)
Online:
2018-04-01
Published:
2018-06-19
Contact:
XING Biao (邢彪)
E-mail:xingbiao1988@163.com
摘要: The influencing factors of the equipment support activity process have the characteristics of nonlinearity, high dimension, many constraints, random uncertainty and fuzzy uncertainty. Monte Carlo method can solve the above problems commendably. This paper analyzes the main equipment support activity process and establishes the sampling plan and simulation model of the medium maintenance process based on Monte Carlo method, and the simulation result verifies a fact that the medium maintenance time can be effectively reduced when parallel operation on some procedures is used. It has a practical value and can give good advice to achieve the capability of equipment supportability.
中图分类号:
XING Biao (邢彪), SONG Tailiang (宋太亮), CAO Junhai (曹军海),DONG Yuansheng (董原生), LI K. Research on Equipment Support Activity Process Simulation Based on Monte Carlo Method[J]. sa, 2018, 23(2): 250-255.
XING Biao (邢彪), SONG Tailiang (宋太亮), CAO Junhai (曹军海),DONG Yuansheng (董原生), LI Kai (李锴). Research on Equipment Support Activity Process Simulation Based on Monte Carlo Method[J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(2): 250-255.
[1] | SONG T L, WANG Y L, FANG Y. General philosophyof support for material development [M]. Beijing:National Defense Industry Press, 2014 (in Chinese). |
[2] | The State Council Information Office of the People’sRepublic of China. China’s national defense in 2015[Z]. Beijing: Xinhua News Agency, 2015 (in Chinese). |
[3] | JAMSHIDI M. System of systems engineering: Innovationsfor the 21st century [M]. New Jersey: JohnWiley & Sons Inc, 2013. |
[4] | RAINEY L B, TOLK A. Modeling and simulation supportfor system of systems engineering application [M].New Jersey: John Wiley & Sons Inc, 2015. |
[5] | NELSON B L. Foundations and methods of stochasticsimulation [M]. Switzerland: Springer InternationalPublishing, 2015. |
[6] | WEN J Q, LI Q, ZHAO Q B. Method to analyze theimpact of maintenance and support process based onneural network [J]. Journal of Beijing University ofAeronautics and Astronautics, 2011, 37(6): 690-694(in Chinese). |
[7] | BIE C h, WANG X f. The application of Monte Carlomethod to reliability evaluation of power systems [J].Automation of Electric Power Systems, 1997, 21(6):68-75 (in Chinese). |
[8] | CHENG W X, CHEN L Q, GONG S G, et al. Readinesssimulation of ship equipment based on MonteCarlo method [J]. Acta Armamentarii, 2006, 27(6):1090-1094 (in Chinese). |
[9] | The AnyLogic Company. Multi method simulationsoftware [EB/OL]. (2015-06-06). [2015-06-06]. http://www.anylogic.com. |
[1] | CHEN Feier (陈飞儿), ZHAO Qiyuan (赵祺源), CAO Mingming (曹明明), CHEN Jiayi (陈嘉屹), FU Guiyuan (傅桂元). Adaptive Agent-Based Modeling Framework for Collective Decision-Making in Crowd Building Evacuation[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(4): 522-533. |
[2] | ZHAN Zhu (占竹), ZHANG Wenjun (张文俊), CHEN Xia (陈霞), WANG Jun (汪军) . Objective Evaluation of Fabric Flatness Grade Based on Convolutional Neural Network[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(4): 503-510. |
[3] | JING Mengjie (荆梦杰), CUI Zhixin (崔志鑫), FU Hang (傅航), CHEN Xiaojun (陈晓军). Real-Time Deformation Simulation of Kidney Surgery Based on Virtual Reality[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(3): 290-297. |
[4] | AKAMPUMUZA Obed, WU Jiajun (吴佳骏), QUAN Zhenzhen (权震震), QIN Xiaohong (覃小红). Simulation of Bimodal Fiber Distribution Effect on Transient Accumulation of Particles During Filtration[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(2): 176-185. |
[5] | LI Bingchao (李炳超), WEI Jizeng (魏继增), GUO Wei (郭炜), SUN Jizhou (孙济州). Bypass-Enabled Thread Compaction for Divergent Control Flow in Graphics Processing Units[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(2): 245-256. |
[6] | GUO Jinyao (郭金尧), LI Runhuan (李润桓), WANG Jiaojiao (王娇娇), ARRANZ Javier, LI Yiran (李怡然), CHAI Xinyu (柴新禹), WANG Jiguang (王继光), SUI Xiaohong (隋晓红) . Blood Pressure Change in Intrafascicular Vagal Activities[J]. J Shanghai Jiaotong Univ Sci, 2021, 26(1): 47-54. |
[7] | WANG Mingzheng, WANG Yijie, WANG Tianyu, HOU Linzao, LI Mian . New Approach for Information Security Evaluation and Management of IT Systems in Educational Institutions[J]. J Shanghai Jiaotong Univ Sci, 2020, 25(6): 689-699. |
[8] | CHEN Zhiyu, BAO Jinsong, ZHENG Xiaohu, LIU Tianyuan . Assembly Information Model Based on Knowledge Graph[J]. J Shanghai Jiaotong Univ Sci, 2020, 25(5): 578-588. |
[9] | DENG Junyong, JIANG Lin . BFM: A Bus-Like Data Feedback Mechanism Between Graphics Processor and Host CPU[J]. Journal of Shanghai Jiao Tong University(Science), 2020, 25(5): 615-622. |
[10] | CHENG Daolai, XU Lei, SUN Xiaojie . Vibration of Axle Box from Wheel Diameter Difference in Vehicle[J]. Journal of Shanghai Jiao Tong University(Science), 2020, 25(4): 509-518. |
[11] | WEN Xiaofei, ZHOU Ruiping, YUAN Qiang, LEI Junsong . Coupling Mathematical Model of Marine Propulsion Shafting in Steady Operating State[J]. Journal of Shanghai Jiao Tong University(Science), 2020, 25(4): 463-469. |
[12] | HUANG Ganyu (黄甘雨), PAN Qiaoyi (潘荍仪), ZHAO Shuangying (赵双楹), GAO Yucen (高宇岑), GAO. Prediction of COVID-19 Outbreak in China and Optimal Return Date for University Students Based on Propagation Dynamics[J]. J Shanghai Jiaotong Univ Sci, 2020, 25(2): 140-146. |
[13] | ZHOU Yuan (周源), WANG Haowei (王浩伟), Lü Weimin (吕卫民). Statistical Inference of Reliability with Multivariate Accelerated Degradation Data[J]. Journal of Shanghai Jiao Tong University (Science), 2020, 25(2): 237-245. |
[14] | ZHOU Feng (周峰), ZHANG Zixu (张紫旭), WU Chang (武畅), TIAN Xin (田鑫), LIU Haotian (刘昊天. Optimization of Numerical Control Program and Machining Simulation Based on VERICUT[J]. Journal of Shanghai Jiao Tong University (Science), 2019, 24(6): 763-768. |
[15] | LIU Jun (刘俊), DING Ziqi (丁子祈), LU Qi (陆麒), HAN Xianhong (韩先洪) . Mode Tracking Scheme Among Remeshed Models for Structural Optimization[J]. Journal of Shanghai Jiao Tong University (Science), 2019, 24(6): 706-715. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||