Research on a feature extraction method for local faults in planetary gearboxes based on improved dynamic time warping

Shang Zhiwu; Yu Yan; Geng Rui; Gao Maosheng; Li Wanxiang

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Research on a feature extraction method for local faults in planetary gearboxes based on improved dynamic time warping

机译：基于改进动态时间翘曲的行星齿轮箱局部断层特征提取方法研究

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摘要

Aiming at the local fault diagnosis of planetary gearbox gears, a feature extraction method based on improved dynamic time warping (IDTW) is proposed. As a calibration matching algorithm, the dynamic time warping method can detect the differences between a set oftime-domain signals. This paper applies the method to fault diagnosis. The method is simpler and more intuitive than feature extraction methods in the frequency domain and the time-frequency domain,avoiding their limitations and disadvantages. Due to the shortcomings of complex calculation, singularity and poor robustness, the paper proposes an improved method. Finally, the method is verified by envelope spectral feature analysis and the local fault diagnosis of gears is realised.

机译：提出了一种基于改进动态时间翘曲（IDTW）的行星齿轮箱齿轮本地故障诊断。作为校准匹配算法，动态时间翘曲方法可以检测集合域信号之间的差异。本文适用于故障诊断的方法。该方法比频域中的特征提取方法更简单，更直观，避免其限制和缺点。由于复杂计算，奇点和稳健性差的缺点，本文提出了一种改进的方法。最后，通过包络光谱特征分析验证该方法，实现了齿轮的局部故障诊断。

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来源
《Insight》 |2021年第8期|465-471|共7页
作者
Shang Zhiwu; Yu Yan; Geng Rui; Gao Maosheng; Li Wanxiang;
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作者单位

Tianjin Key Laboratory of Modern Mechatronics Equipment Technology Tiangong University Tianjin 300387 China;

Tianjin Key Laboratory of Modern Mechatronics Equipment Technology Tiangong University Tianjin 300387 China;

Tianjin Key Laboratory of Modern Mechatronics Equipment Technology Tiangong University Tianjin 300387 China;

Tianjin Key Laboratory of Modern Mechatronics Equipment Technology Tiangong University Tianjin 300387 China;

Tianjin Key Laboratory of Modern Mechatronics Equipment Technology Tiangong University Tianjin 300387 China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
原文格式 PDF
正文语种 eng
中图分类
关键词
fault diagnosis; planetary gearbox; improved dynamic time warping; feature extraction;

机译：故障诊断;行星齿轮箱;改善动态时间翘曲;特征提取;

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1. A Transient Feature Learning-Based Intelligent Fault Diagnosis Method for Planetary Gearboxes [J] . Journal of Mechanical Engineering . 2020,第6期

机译：基于瞬态特征学习的行星齿轮箱智能故障诊断方法
2. An improved local mean decomposition method based on improved composite interpolation envelope and its application in bearing fault feature extraction [J] . Li Xiang, Ma Jun, Wang Xiaodong, ISA Transactions . 2020,第期

机译：一种改进的基于改进的复合插值包络的局部平均分解方法及其在轴承故障特征提取中的应用
3. Fault feature extraction method based on local mean decomposition Shannon entropy and improved kernel principal component analysis model: [J] . Jinlu Sheng, Shaojiang Dong, Zhu Liu, Advances in Mechanical Engineering . 2016,第8期

机译：基于局部均值分解香农熵和改进核主成分分析模型的故障特征提取方法：
4. Vibration diagnostic method based on improved intrinsic time-scale decomposition and energy operator demodulation for fault diagnosis of helicopter planetary gearboxes [C] . Canfei Sun, Youren Wang, Yan Zhang 2016 Prognostics and System Health Management Conference . 2016

机译：基于改进的内在时标分解和能量算子解调的振动诊断方法对直升机行星齿轮箱的故障诊断
5. A Real-Time Prognostic Methodology Based on Feature Extraction and Multivariate Control Charting for Improving Reliability and Maintenance. [D] . Chakamehgooyemotlagh, Mehdi. 2017

机译：基于特征提取和多元控制图的实时预测方法，可提高可靠性和维护性。
6. Planetary Gears Feature Extraction and Fault Diagnosis Method Based on VMD and CNN [O] . Chang Liu, Gang Cheng, Xihui Chen, 2018

机译：基于VMD和CNN的行星齿轮特征提取与故障诊断方法
7. Fault feature extraction method based on local mean decomposition Shannon entropy and improved kernel principal component analysis model [O] . Jinlu Sheng, Shaojiang Dong, Zhu Liu, 2016

机译：基于局部均值分解shannon熵和改进核主成分分析模型的故障特征提取方法

Research on a feature extraction method for local faults in planetary gearboxes based on improved dynamic time warping

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