Multichannel Fault Diagnosis of Planetary Gearbox via Difference-Average Symbol Transition Entropy and Twin Support Higher-Order Tensor Machine-Reference-Cited by-同舟云学术

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Multichannel Fault Diagnosis of Planetary Gearbox via Difference-Average Symbol Transition Entropy and Twin Support Higher-Order Tensor Machine

Published:2024 Issue: Volume:73 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Yang Cheng¹^ORCID,He Qingbo¹^ORCID,Li Zhinong²^ORCID,Jia Minping³^ORCID,Gabbouj Moncef⁴^ORCID,Peng Zhike¹^ORCID

Affiliation:

1. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China

2. Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang, China

3. School of Mechanical Engineering, Southeast University, Nanjing, China

4. Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland

Funder

National Natural Science Foundation of China

National Science and Technology Major Project

China Postdoctoral Science Foundation funded project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10397554.pdf?arnumber=10397554

Reference26 articles.

1. Intelligent Fault Diagnosis for Planetary Gearbox Using Time-Frequency Representation and Deep Reinforcement Learning

2. Modified Stacked Auto-encoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery

3. Sinusoidal FM patterns of fault-related vibration signals for planetary gearbox fault detection under non-stationary conditions

4. Intelligent Fault Detection for Rotating Machinery Using Cyclic Morphological Modulation Spectrum and Hierarchical Teager Permutation Entropy

5. Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel feature dimensionality reduction method for gearbox fault diagnosis with HMSDE, DANCo-DDMA and KELM;Nonlinear Dynamics;2024-06-17

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