[1]朱明,李志农,何旭平,等.广义S变换在转子碰摩故障诊断中的应用[J].华侨大学学报(自然科学版),2014,35(2):127-131.[doi:10.11830/ISSN.1000-5013.2014.02.0127]
 ZHU Ming,LI Zhi-nong,HE Xu-ping,et al.Application of Generalized S-Transformation in Rotor Rub-Impact Fault Diagnosis[J].Journal of Huaqiao University(Natural Science),2014,35(2):127-131.[doi:10.11830/ISSN.1000-5013.2014.02.0127]
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广义S变换在转子碰摩故障诊断中的应用()
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《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第35卷
期数:
2014年第2期
页码:
127-131
栏目:
出版日期:
2014-03-20

文章信息/Info

Title:
Application of Generalized S-Transformation in Rotor Rub-Impact Fault Diagnosis
文章编号:
1000-5013(2014)02-0127-05
作者:
朱明 李志农 何旭平 邬冠华
南昌航空大学 无损检测技术教育部重点实验室, 江西 南昌 330063
Author(s):
ZHU Ming LI Zhi-nong HE Xu-ping WU Guan-hua
Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 360063, China
关键词:
故障诊断 广义S变换 碰摩 时频分辨率
Keywords:
fault diagnosis generalized S-transformation rub-impact time-frequency resolution
分类号:
TH165.3;TN911.6
DOI:
10.11830/ISSN.1000-5013.2014.02.0127
文献标志码:
A
摘要:
基于广义S变换在处理非平稳信号的独特优势,将广义S变换(GST)引入到转子碰摩故障诊断中,利用广义S变换来提取具有不同的严重程度的转子碰摩故障信号的谐波特征.仿真研究表明:与小波变换和标准S变换相比, GST可以通过改变参数以适应不同信号的分析需要,并且具有更高的时频分辨率.试验结果分析表明:该方法能够有效地揭示出碰摩故障数据的频率结构,区分碰摩故障的严重程度.
Abstract:
Based on the unique features of the generalized S-transformation(GST)in dealing with non-stationary signals, the GST is introduced into the rub-impact fault diagnosis of rotor system. This method is used to extract the harmonic features of rotor rub-impact fault signals with the different severity. The simulation results show that the GST method can change the parameters to suit the needs of different signal analysis when compared with the wavelet transform and the standard S-transformation. And can obtain the higher time-frequency resolution. The experiment results show that the proposed method can effectively reveal the frequency structure in rubbing fault and discern the severity of rub-impact fault.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2013-11-18
通信作者: 李志农(1966-),男,教授,博士,主要从事智能检测与信号处理,机械设备状态监测与故障诊断的研究.E-mail:lizhinong@tsinghua.org.cn.
基金项目: 国家自然科学基金资助项目(51075372, 50775208); 江西省教育厅科技计划项目(GJJ12405); 湖南科技大学机械设备健康维护湖南省重点实验室开放基金资助项目(201204); 江西省研究生创新基金资助项目(YC2013-S214)
更新日期/Last Update: 2014-03-20