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1000 MW超超临界机组发电机调试期间振动问题的分析及处理 被引量:2
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作者 冯坤 《华电技术》 CAS 2019年第12期41-45,共5页
某1000 MW超超临界汽轮发电机组在调试期间,出现发电机低转速下转轴振动大、带负荷时发生轴振突跳及热弯曲等振动故障。结合发电机结构、升速过程伯德图、轴振突跳时的时域波形、转子发生热弯曲前后的工频幅值/相位变化情况进行分析,判... 某1000 MW超超临界汽轮发电机组在调试期间,出现发电机低转速下转轴振动大、带负荷时发生轴振突跳及热弯曲等振动故障。结合发电机结构、升速过程伯德图、轴振突跳时的时域波形、转子发生热弯曲前后的工频幅值/相位变化情况进行分析,判断振动故障原因为发电机转子存在副临界转速,#6,#7轴承轴振存在虚假值且带负荷过程中发电机转子发生热弯曲。现场通过提高机组转速、调整转子与碳刷的接触面积及热平衡方法,消除了发电组振动故障。该方法对同类型机组类似的振动故障诊断和处理具有一定借鉴意义。 展开更多
关键词 1000 MW机组 振动故障诊断 发电机副临界 虚假值 动平衡 热弯曲 碳刷
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一种基于Prony原理的测深算法研究
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作者 杨玉春 王忠康 焦君圣 《声学与电子工程》 2013年第4期15-19,共5页
根据Prony原理,将其用在瞬时波达DOA估计上,对海底瞬时回波进行DOA估计,从而实现了测深的目的。进行测深仿真计算,从仿真结果中可以看出,对于复杂的海底地形,亦能作出精确的深度估计。
关键词 测深侧扫 Prony原理 瞬时回波 虚假值剔除 DOA估计
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Detection and correction of level echo based on generalized S-transform and singular value decomposition 被引量:1
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作者 ZHU Tianliang WANG Xiaopeng WANG Qi 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2021年第4期442-448,共7页
The echo of the material level is non-stationary and contains many singularities.The echo contains false echoes and noise,which affects the detection of the material level signals,resulting in low accuracy of material... The echo of the material level is non-stationary and contains many singularities.The echo contains false echoes and noise,which affects the detection of the material level signals,resulting in low accuracy of material level measurement.A new method for detecting and correcting the material level signal is proposed,which is based on the generalized S-transform and singular value decomposition(GST-SVD).In this project,the change of material level is regarded as the low speed moving target.First,the generalized S-transform is performed on the echo signals.During the transformation process,the variation trend of window of the generalized S-transform is adjusted according to the frequency distribution characteristics of the material level echo signal,achieving the purpose of detecting the signal.Secondly,the SVD is used to reconstruct the time-frequency coefficient matrix.At last,the reconstructed time-frequency matrix performs an inverse transform.The experimental results show that the method can accurately detect the material level echo signal,and it can reserve the detailed characteristics of the signal while suppressing the noise,and reduce the false echo interference.Compared with other methods,the material level measurement error does not exceed 4.01%,and the material level measurement accuracy can reach 0.40%F.S. 展开更多
关键词 echo signal false echo generalized S-transform singular value decomposition(SVD) level measurement
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