Automatic recognition of orbit shape for fault diagnosis in steam turbine generator sets
Yan, Changfeng1,2; Zhang, Hao2; Wu, Lixiao1
2010-06-01
发表期刊Journal of Computational Information Systems
ISSN15539105
卷号6期号:6页码:1995-2008
摘要Since the orbit shape and dynamic characteristics of the shaft contain abundant information for the fault diagnosis of rotating machinery and can reflect different faults of rotating machine, the shaft orbit recognition plays an important role in the fault diagnosis of steam turbine generator set. An automatic orbit recognition method is proposed in this paper. That is, the new median morphological filter combined the open-closing with clos-opening is used to eliminate the noise mixed in the original vibration signals in x and y direction, then the image feature are extracted from the shaft orbit reconstructed by using seven improved invariant moment. Input the seven invariant moments to the trained BP neural network, the orbit shape can be identified automatically. In order to study the ability of shape recognition, several white Gaussian noises are mixed in the different shapes, and the change of the moment invariant is observed and analyzed. Two cases are used to verify this model. It is shown that this model is feasible and high precision for identifying the orbit in fault diagnosis. Copyright © 2010 Binary Information Press.
关键词Image processing Marine engines Neural networks Rotating machinery Rotation Steam Steam turbines Turbogenerators Automatic recognition Invariant moment Morphological filters Shaft orbit Steam turbine generator sets
收录类别EI
语种英语
出版者Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States
EI入藏号20103913260639
EI主题词Orbits
EI分类号741 Light, Optics and Optical Devices - 723.4 Artificial Intelligence - 705.2 Electric Generators - 655.2 Satellites - 617.2 Steam Turbines - 612 Engines - 601.1 Mechanical Devices
来源库Compendex
分类代码741 Light, Optics and Optical Devices - 723.4 Artificial Intelligence - 705.2 Electric Generators - 655.2 Satellites - 617.2 Steam Turbines - 612 Engines - 601.1 Mechanical Devices
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/111801
专题机电工程学院
作者单位1.School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China;
2.CIMS Center, Tongji University, Shanghai, 200092, China
第一作者单位兰州理工大学
第一作者的第一单位兰州理工大学
推荐引用方式
GB/T 7714
Yan, Changfeng,Zhang, Hao,Wu, Lixiao. Automatic recognition of orbit shape for fault diagnosis in steam turbine generator sets[J]. Journal of Computational Information Systems,2010,6(6):1995-2008.
APA Yan, Changfeng,Zhang, Hao,&Wu, Lixiao.(2010).Automatic recognition of orbit shape for fault diagnosis in steam turbine generator sets.Journal of Computational Information Systems,6(6),1995-2008.
MLA Yan, Changfeng,et al."Automatic recognition of orbit shape for fault diagnosis in steam turbine generator sets".Journal of Computational Information Systems 6.6(2010):1995-2008.
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