[1]许秀, 肖军, 王莉. 石油化工自动化及仪表 [M]. 北京: 清华大学出版社, 2013.
XU Xiu,XIAO Jun,WANG Li. Automation and Instrumentation of Petrochemical Industry [M]. Beijing: Tsinghua University press,2013: 3-4.
[2]简祯富, 许嘉裕. 大数据分析与数据挖掘 [M]. 北京: 清华大学出版社, 2016.
JIAN Zhenfu,XU Jiayu. Big Data Analysis and Data Mining [M]. Beijing:Tsinghua University Press,2016.
[3]LEE Jay, WU Fangji, ZHAO Wenyu, et al. Prognostics and Health Management Design for Rotary Machinery Systems—Reviews, Methodology and Applications [J]. Mechanical Systems and Signal Processing, 2014, 42(1/2): 314-334.
[4]彭宇, 刘大同, 彭喜元. 故障预测与健康管理技术综述[J]. 电子测量与仪器学报, 2010, 24(1):1-9.
PENG Yu, LIU Datong, PENG Xiyuan. A Review: Prognostics and Health Management [J]. Journal of Electronic Measurement and Instrument, 2010, 24(1):1-9.
[5]廖雯竹, 潘尔顺, 王莹, 等. 统计模式识别和自回归滑动平均模型在设备剩余寿命预测中的应用 [J]. 上海交通大学学报, 2011, 45(7): 1000-1005.
LIAO Wenzhu,PAN Ershun,WANG Ying,et al. Application of Statistical Pattern Recognition and Autoregressive Sliding Average Model in Prediction of Remaining Life of Equipment[J]. Journal of Shanghai Jiaotong University,2011,45 (7):1000-1005.
[6]赵玉刚, 鞠建波, 张经伟. 基于 LIB-SVM 的电子设备故障预测方法研究 [J]. 计算机测量与控制, 2015, 23(6): 1888-1891.
ZHAO Yugang, JU Jianbo, ZHANG Jingwei.Research on Fault Prediction Methods of Electronic Device Based on LIB-SVM [J]. Computer Measurement & Control, 2015, 23(6): 1888-1891.
[7]HEIMES F O. Recurrent Neural Networks for Remaining Useful Life Estimation [C]//First International Conference on Prognostics and Health Management (PHM 2008). Denver, 2008: 1-6.
[8]王洪斌, 王红何, 群王跃, 等. 基于深度信念网络的风机主轴承状态监测方法 [J]. 中国机械工程, 2018, 29(8): 948-953.
WANG Hongbin, WANG Honghe, QUN Wangyue,et al. Condition Monitoring Method for Wind Turbine Main Bearings Based on DBN [J]. China Mechanical Engineering, 2018, 29(8): 948-953.
[9]吴魁, 孙洁, 蒋波, 等. 基于 LSTM 的风洞设备健康状态评估方法研究 [J]. 计算机测量与控制, 2018, 26(3): 288-291.
WU Kui, SUN Jie, JIANG Bo,et al. Study of Health Assessment for Wind Tunnel Based on LSTM [J]. Computer Measurement & Control, 2018, 26(3): 288-291.
[10]张洁, 秦威, 鲍劲松. 制造业大数据 [M]. 上海: 上海科学技术出版社, 2016.
ZHANG Jie, QIN Wei, BAO Jinsong. Big Data of Manufacturing Industry [M]. Shanghai: Shanghai Science and Technology Press,2016.
[11]吕飞, 李延晖. 备件物流系统选址库存路径问题模型及算法 [J]. 工业工程与管理, 2010, 15(1): 82-86.
LYU Fei,LI Yanhui. Model and Algorithm for Location Inventory-routing Problem of Spare Parts Logistics System in Time-based Competition[J]. Industrial Engineering and Management,2010,15(1):82-86.
[12]黄照协, 高崎, 葛阳, 等. 典型串并联系统的备件库存优化模型 [J]. 数学的实践与认识, 2012, 42(18): 195-201.
HUANG Zhaoxie,GAO Qi,GE Yang,et al. Optimization Model of Spares Inventory Based on Typical Series-Paurallel Connection System [J]. Mathmatics in Practice and Theory,2012,42(18):195-201.
[13]罗祎, 阮旻智, 袁志勇. 多级维修供应下可修复备件库存建模与优化 [J]. 系统工程理论与实践, 2013, 33(10): 2623-2630.
LUO Yi,RUAN Minzhi,YUAN Zhiyong. Modeling and Optimization of Repairable Spare Parts under the Multi-echelon Maintenance Supply [J]. Systems Engineering-Theory & Practice,2013,33(10):2623-2630.
[14]聂涛, 盛文, 王晗中. 装备备件两级闭环供应链库存优化与分析 [J]. 系统工程理论与实践, 2010(12): 2309-2314.
NIE Tao,SHENG Wen,WANG Hanzhong. Optimizing and Analyzing Two-echelon Closed Loop Supply Chain Storage System for Equipment Spare Parts [J]. Systems Engineering-Theory & Practice,2010(12):2309-2314. |