检索结果-南通市图书馆

Synchronous chirp mode extraction: A promising tool for fault diagnosis of rolling element bearings under varying speed conditions

引用

Chinese Journal of Aeronautics 2022年第1期35卷 348-364页

作者： Xingxing JIANG Qiang HUANG Changqing SHEN Qian WANG Kun XU Jie LIU Juanjuan SHI Zhongkui ZHU School of Rail Transportation Soochow UniversitySuzhou 215131China Wenzheng College of Soochow University Suzhou 215104China College of Energy and Power Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China Sclool of Hydropower and Infonnation Engineering Huazhong University of Science and TechnologyWuhan 430074China

As critical components in modern aerospace productions,rolling element bearings(REBs)generally work under varying speed conditions,which brings great challenges to their operating health *** novel time–frequency decomposition(TFD)algorithms are established recently to extract nonlinear features from the non-stationary signals effectively,which are promising for realizing fault diagnosis of REBs under varying speed ***,numerous personal experiences must be incorporated and the anti-noise performance of these methods needs to be further *** these issues,a synchronous chirp mode extraction(SCME)-based REB fault diagnosis method is proposed for the health monitoring of REBs under varying speed conditions in this *** mainly consists of following two parts.(a)The shaft rotational frequency(SRF)is initially estimated from the low-frequency band of the vibration ***,an adaptive refining strategy is incorporated to obtain a suitable bandwidth parameter.(b)A cycle-one-step estimation frame is constructed to extract synchronous modes from the envelope waveform of the vibration ***,a synchronous mode spectrum(SMS)is generated using the information of the extracted synchronous modes,which is a novel REBs fault diagnosis technique with tacholess and *** contrast to the current TFD algorithms,the proposed method needs fewer input parameters and owns a well anti-noise performance because there is no iterative optimization in the procedure of construction of *** a result,the health conditions of REBs are evaluated by detecting the exhibited features in the *** and experiments are conducted to validate the effectiveness of the proposed method in terms of REB fault *** results demonstrate that the proposed method outperforms the current TFD algorithm and the conventional order tracking technique for fault diagnosis of REB under varying speed conditions.

关键词： Envelope analysis Fault diagnosis Order tracking Rolling element bearing varying speed

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A Two-Step Method for PMSG Bearing Fault Recognition under varying speed Condition

A Two-Step Method for PMSG Bearing Fault Recognition under V...

引用

第32届中国控制与决策会议

作者： Xiaoxian Wang Jun Guo Siliang Lu Traction Power State Key Laboratory Southwest Jiaotong University College of Electronics and Information Engineering Anhui University Department of Precision Machinery and Precision Instrumentation University of Science and Technology of China College of Electrical Engineering and Automation Anhui University State Key Laboratory of Mechanical Transmission Chongqing University

Permanent magnet synchronous generators（PMSGs） are widely used in wind turbines to convert the mechanical energy to electrical *** is a vulnerable component in a PMSG and its condition monitoring and fault diagnosis are important to guarantee the safety *** the PMSGs always rotate at varying speed conditions,the bearing signals are complicated and how to accurately recognize the bearing conditions is a *** this study,a two-step method is proposed to recognize the bearing fault types in varying speed *** the first step,the current and vibration signals are synchronously *** amplitude fluctuation of the current signal and the rotating angle of the rotor are estimated from the current signal by using the peak detection technology and zero-phase filter,*** the second step,the amplitude of the vibration signal is compensated according to the current amplitude fluctuation,and then the vibration signal is resampled according to the rotating angle *** features are extracted from the vibration signals and then fused by using back propagation neural networks（BPNNs）.The bearing fault types can be finally recognized from the well-trained BPNN *** proposed method improves the recognition accuracy by introducing the amplitude compensation and resampling procedures.

关键词： PMSG Bearing Fault Recognition varying speed Current and Vibration Signal Analyses BPNN

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：