Intelligent system architecture for process operation support
作者： M Rao , X Sun , J Feng
DOI: 10.1016/S0957-4174(00)00040-3
关键词:
摘要: Abstract This paper presents a generic intelligent system platform, namely INTEMOR (INTElligent Multimedia for On-line Real-time application), process operation support. is developed by combining artificial intelligence, computer and information technology into unified environment. It integrates various function modules to perform support tasks, including communication gateway, data processing analysis, on-line monitoring diagnosis, manual, equipment maintenance assistance, reasoning system, knowledge-base creator multimedia interface. The industrial applications of on boiler chemical pulping are illustrated.
elsevier.com
isiarticles.com 参考文章(8)
Ming Rao, Integrated system for intelligent control ,(1991)
Juan E. Vargas, Savita Raj, Developing maintainable expert systems using case‐based reasoning Expert Systems. ,vol. 10, pp. 219- 225 ,(1993) , 10.1111/J.1468-0394.1993.TB00101.X
B.E. Berzonsky, A knowledge-based electrical diagnostic system for mining machine maintenance IEEE Transactions on Industry Applications. ,vol. 26, pp. 342- 346 ,(1990) , 10.1109/28.54261
J.L. Murdock, B. Hayes-Roth, Intelligent monitoring and control of semiconductor manufacturing equipment IEEE Intelligent Systems. ,vol. 6, pp. 19- 31 ,(1991) , 10.1109/64.108948
J.A. Leonard, M.A. Kramer, Diagnosing dynamic faults using modular neural nets IEEE Intelligent Systems. ,vol. 8, pp. 44- 53 ,(1993) , 10.1109/64.207428
A.J. Gonzalez, Lingli Xu, U.M. Gupta, Validation techniques for case-based reasoning systems systems man and cybernetics. ,vol. 28, pp. 465- 477 ,(1998) , 10.1109/3468.686707
R. Senjen, M. de Beler, C. Leckie, C. Rowles, Hybrid expert systems for monitoring and fault diagnosis conference on artificial intelligence for applications. pp. 235- 241 ,(1993) , 10.1109/CAIA.1993.366605
A. Ursenbach, Qun Wang, Ming Rao, Julian Coward, David K. Lamb, Intelligent maintenance support system for mining truck conditioning monitoring and troubleshooting International Journal of Surface Mining, Reclamation and Environment. ,vol. 8, pp. 73- 81 ,(1994) , 10.1080/09208119408964762