期刊文献+

采用先进的诊断技术 提高压缩机设备管理水平

Improving the Facility Management Level of Compressors by Means of Advanced Failure Diagnosis Techniques
下载PDF
导出
摘要 大型往复式压缩机是炼油化工生产装置的核心设备,由于结构复杂,运行中安全可靠性要求比较高,采用先进的往复式压缩机故障诊断方法,是保证压缩机正常运行,完成生产任务的关键。 A bull reciprocating compressor is the core equipment in oil refining units and its structure is complicated. So its running must be safe and reliable. The use of the advanced failure diagnosis methods is the key to the normal running of the compressors.
出处 《石油工业技术监督》 2005年第9期20-22,共3页 Technology Supervision in Petroleum Industry
  • 相关文献

参考文献5

二级参考文献17

  • 1王璇,李春升,周荫清.多传感器信息融合技术[J].北京航空航天大学学报,1994,20(4):402-406. 被引量:23
  • 2郁文贤,雍少为,郭桂蓉.多传感器信息融合技术述评[J].国防科技大学学报,1994,16(3):1-11. 被引量:157
  • 3[1]Heckerman D. Learning Bayesian Networks: [Technical Report MSR-TR-95-02]. Microsoft Research, Microsoft Corporation, 1995
  • 4[2]Friedman N. Bayesian Network Classifiers. Machine Learning, 1997,29: 131~163
  • 5[3]Heckerman D. Bayesian Networks for Data Mining. Data Mining and Knowledge Discovery, 1997,1: 79~119
  • 6[1]Heckerman D. Bayesian networks for data mining [J]. Data Mining and Knowledge Discovery, 1997, 1: 79~119.
  • 7[2]Heckerman D, Geiger D, Chickering D. Learning Bayesian Networks: the combination of knowledge and statistical data [J]. Machine Learning, 1995, 20: 196~243.
  • 8[3]Geiger D, Heckerman D. A characterization of the Dirichlet distribution with applicable to learning Bayesian networks [A]. In Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence [C]. Montreal, QU, 1995. 196~207.
  • 9[4]Cooper G, Herskovits E. A Bayesian method for the induction of probabilistic networks from data [J]. Machine Learning, 1992, 9: 309~347.
  • 10[5]Dagum P, Luby M. Approximating probabilistic inference in Bayesian belief networks is NP-hard [J]. Artificial Intelligence, 1993, 60: 141~153.

共引文献122

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部