| 信息融合技术在烟气轮机故障诊断中的应用 |
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| 引用本文： | 张唐瑭,王少红,徐小力. 信息融合技术在烟气轮机故障诊断中的应用[J]. 北京机械工业学院学报, 2008, 23(2): 14-17 |
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| 作者姓名： | 张唐瑭 王少红 徐小力 |
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| 作者单位： | 北京信息科技大学机电系统测控北京市重点实验室,北京100192 |
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| 基金项目： | 国家自然科学基金，北京市自然科学基金 |
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| 摘 要： | 烟气轮机是炼化企业生产中重要的核心设备，保障烟气轮机的安全可靠运行，实现科学维护十分重要。对多传感器信息融合技术作了简要介绍，给出了一种神经网络与D-S证据理论相结合的诊断方法，并提出了基于多传感器信息融合技术的烟气轮机故障诊断模型。通过在转子实验台上的实验表明，采用该方法提高了故障诊断系统的灵活性及故障诊断的效率和准确性。
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| 关 键 词： | 信息融合 烟气轮机 故障诊断 |
Application of multi-sensor information fusion algorithm in stack gas turbine fault diagnosis |
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| ZHANG Tang-tang,WANG Shao-hong,XU Xiao-li. Application of multi-sensor information fusion algorithm in stack gas turbine fault diagnosis[J]. Journal of Beijing Institute of Machinery, 2008, 23(2): 14-17 |
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| Authors: | ZHANG Tang-tang WANG Shao-hong XU Xiao-li |
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| Affiliation: | ZHANG Tang-tang,WANG Shao-hong,XU Xiao-li ( Beijing Key Laboratory ： Measurement and Control of Mechanical and Electrical System, Beijing Information Science and Technology University,Beijing 100192 ,China) |
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| Abstract: | Stack gas turbine is core equipment in production, so scientific maintenance of the turbine appears to be important to ensure its safe and reliable operation. The muhi-sensor information fusion algorithm is briefly introduced ;a neural network with the D-S evidence of a combination of diagnostic methods is provided ; and a multi-sensor fusion-based algorithm fault diagnosis of the gas turbine model is proposed, Experiment result shows that the method enhances the system flexibility,the efficiency and accuracy of the fault diagnosis. |
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| Keywords: | information fusion stack gas turbine fault diagnosis |
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