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基于模糊神经网络的燃气轮机热力部件故障诊断研究 被引量:2
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作者 朱嵘嘉 丁超 范政矫 《电气自动化》 2017年第1期110-112,共3页
针对燃气轮机热力部件故障,提出了基于模糊神经网络的故障检测和诊断方法。在利用模糊规则描述系统故障状态的基础上,通过建立故障诊断目标函数,利用误差反向梯度算法实时修正神经网络连接权值和阈值。仿真结果证明与传统BP神经网络相比... 针对燃气轮机热力部件故障,提出了基于模糊神经网络的故障检测和诊断方法。在利用模糊规则描述系统故障状态的基础上,通过建立故障诊断目标函数,利用误差反向梯度算法实时修正神经网络连接权值和阈值。仿真结果证明与传统BP神经网络相比,模糊神经网络在对燃气轮机热力部件故障的识别中,具有更高的准确率。 展开更多
关键词 热力部件 燃气轮机 模糊神经网络 故障诊断 仿真
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热力承压部件膨胀不畅引发的失效分析及防范 被引量:1
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作者 许好好 鲍听 《中国特种设备安全》 2014年第12期47-50,共4页
本文笔者根据积累的经验,并结合具体案例,分析了三类承压部件(锅炉水冷壁、汽水管道、联箱角焊缝)因膨胀不畅引发的失效特征和原因,并提出了相应的防范和整改措施。对火力发电厂承压部件防止膨胀拉裂引起的失效有一定的参考和借鉴意义。
关键词 热力承压部件 膨胀 失效分析和防范
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即将投入商业运行的第一个701G系统
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作者 JohnNedderman 闫开芑 《江苏电力译文》 2001年第1期24-26,共3页
三菱公司的第一台701G型燃气轮机计划于1999年7月在多荷科电力公司的1610MW黑尼4号联合循环发电机组上投入商业运行。黑尼也是日本第一个自从1984年就投入运行的大型联合循环电站,因此,它为过去的近15年里联合循环技术的是显著进展提... 三菱公司的第一台701G型燃气轮机计划于1999年7月在多荷科电力公司的1610MW黑尼4号联合循环发电机组上投入商业运行。黑尼也是日本第一个自从1984年就投入运行的大型联合循环电站,因此,它为过去的近15年里联合循环技术的是显著进展提供了一个好的实例。 展开更多
关键词 燃气轮机 热力部件 转子 叶片 701G型
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Using Thermoelastic Stress Analysis to Detect Damaged and Hot Spot Areas in Structural Components
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作者 Freire J. L. F. Waugh, R. C. +1 位作者 Fruehmann, R. Dulieu-Barton, J. M. 《Journal of Mechanics Engineering and Automation》 2015年第11期623-634,共12页
This paper discusses the suitability of using TSA (thermoelastic stress analysis) as an advanced tool to detect damaged areas and highly stressed (hot spot) areas in structural components. Such components can be, ... This paper discusses the suitability of using TSA (thermoelastic stress analysis) as an advanced tool to detect damaged areas and highly stressed (hot spot) areas in structural components. Such components can be, for example, parts of large structural panels built of welded metallic or composite materials. Besides detecting hot spot areas, it is expected that stresses in these areas can be suitably quantified and processed in order to predict crack initiation and propagation due to in-service loads. The paper starts with references to selected review and application articles on the subject. Two simple laboratory experiments are presented which illustrate the quality of the results that can be achieved using TSA. In the first experiment, a stainless steel T-joint designed to model a welded structural component is analysed. The T-joint had a machine-notched crack-like flaw close to the component's weld toe. The qualitative and quantitative experimental results determined along four specified areas of the T-joint model showed that TSA can indeed be used as a tool to detect loaded cracks and hot spots in large metallic structures, and that stresses can be accurately evaluated. In the second experiment, a prismatic bar made of CFRE (carbon fibre-reinforced-epoxy) was tested to locate three subsurface areas of damage introduced beforehand into the component. Two of these inside damaged areas were detected to be 3.1 mm and 7.1 mm from the observed surface. The positive results achieved with the two lab experiments, along with a review of the selected research publications, indicate that TSA application can be extended to the real-world field of structural components. Topics to be addressed in this research field should have to do with components that work under random or quasi-cyclic service loading, problems where adiabatic conditions do not prevail, and reduction of the cost of infra-red cameras. 展开更多
关键词 TSA stress distribution NDT stress distribution stress concentration CRACK T-JOINT infra-red.
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