1. 王家海,马云雷,肖睿恒. 在eM-Plant环境下基于遗传算法的JSP仿真优化,制造业自动化,2011.3, Vol.33, No.3 (1):06-77, 12.
2. 王家海,祁亮. 电子产品测试数据管理系统的设计与实现,机电一体化,2011.5,Vol.17, No.5:85-87, 91.
3. Wang Jiahai, Xiao Ruiheng, Ma Yunlei, Research on Welding Robot Path Planning using Ant Colony Optimization, Advanced Materials Research Vols.201-203(2011), 1926-1929. (EI Compendex)
4. Wang Jiahai, Gong Wentao, Research on Jobshop Scheduling Problem with Energy Consumption, Advanced Materials Research Vols.314-316(2011), 2071-2075.(EI Compendex)
5. 王家海,李红梅,施玉安. 基于ANSYS的矩形截面压力容器的参数化分析.制造业自动化,2011.9,Vol.33, No.9:138-140
6. Wang Jiahai, Zhang Yanyan. Parameters Research and Improvement of Ant Colony Algorithm. Proceedings of the 2011 International Conference on Advances in Construction Machinery and Vehicle Engineering. Shanghai Scientific & Technical publishers. 2011.03, 619-621. (EI Compendex)
7. Wang Jiahai, Wang Bosong. Implementation of Real Time Monitoring based on MES. 2012 Fifth International Symposium on Computational Intelligence and Design. Hangzhou, China. 28-29 October 2012. 259-261. (EI Compendex)
8. 王家海,文剑飞.基于改进遗传算法的数控机床故障时识别研究.化工自动化及仪表,2012,Vol.39(4):444-445
9. 王家海,李佳,黄江涛. 数控机床图形化故障诊断专家系统的数据管理,机电一体化,2013.8,Vol.19, No.8:61-63,80
10. Jia-hai WANG, Chen-yang LIU, Shu-yu ZHAO. Study of Using Jess to Develop Fault Diagnosis Expert System for Computerized Numerical Control Machine. The 20th International Conference on Industrial Engineering and Engineering Management, 2013.08: 170-172. (EI Compendex)
11. Jiahai Wang and Yanqing Zhang. Monitoring System of Machine Tools Based on the InTouch. 2013 International Conference on Mechanical and Automation Engineering, 2013.07:70-72 (MAEE 2013) (EI Compendex)
12. 王家海,刘晨阳.基于不确定推理的数控机床故障诊断的研究,制造技术与机床,2014.1, No.1:Vol.619:48-51
13. 王家海,张燕青.基于Web的三维图形化显示在数控机床故障诊断中的应用,制造业自动化,2014.3,Vol.36,No.3(下):19-21
14. Jiangtao HUANG, JiahaiWANG, Jianfei Wen, Shuyu ZHAO. Research on algorithm design of CNC machine fault diagnosis based on fault tree. Machine tool & Hydraulics, 2014, Vol.42 (6): 32-36
15. 王家海,黄江涛,沈斌,苏依顺,张燕青.数控机床智能故障诊断技术的研究现状与展望.机械制造,2014,52(5):30-32
16. 王家海,黄江涛,沈斌,李佳.数控机床故障诊断本体建模研究.精密制造与自动化,2014,(2):32-36 |