Complex scale feature extraction for gearbox via adaptive multi-mode manifold learning-Reference-Cited by-同舟云学术

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Complex scale feature extraction for gearbox via adaptive multi-mode manifold learning

Published:2021-04 Issue: Volume:174 Page:108688
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Dai Lei,Li Quanchang,Chen Yijie,Ding Xiaoxi,Huang Wenbin,Shao Yimin

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Central University Basic Scientific Research Business Expenses Special Funds

Central University Basic Research Fund of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference30 articles.

1. A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings;Rai;Tribol. Int.,2016

2. Energy-fluctuated multiscale feature learning with deep convent for intelligent spindle bearing fault diagnosis;Ding;IEEE Trans. Instrum. Meas.,2017

3. Basic research on machinery fault diagnosis: Past, present, and future trends;Chen;Frontiers of Mechanical Engineering.,2018

4. Fault diagnosis of gearbox using particle swarm optimization and second order transient analysis;Hussain;Journal of Vibration and Acoustics-Transactions of the ASME.,2017

5. Transient feature self-enhancement via shift-invariant manifold sparse learning for rolling bearing health diagnosis;Li;Measurement,2019

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1. A Novel Curve Clustering Method in Modal Decomposition for Amplitude Estimation of Period-Decreasing Signals in Brake Rotors;IEEE Transactions on Instrumentation and Measurement;2024

2. Dual-kernel driven convolutional sparse learning for bearing transient feature enhancement;Measurement;2023-07

3. Variable-scale evolutionary adaptive mode denoising in the application of gearbox early fault diagnosis;Mechanical Systems and Signal Processing;2023-02

4. Dual-weight local linear embedding algorithm based on adaptive neighborhood;Transactions of the Institute of Measurement and Control;2022-11-30

5. Modified LPP based on Riemannian metric for feature extraction and fault detection;Measurement;2022-04

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