Compound fault diagnosis of gearboxes based on GFT component extraction-Reference-Cited by-同舟云学术

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Compound fault diagnosis of gearboxes based on GFT component extraction

Published:2016-10-05 Issue:11 Volume:27 Page:115007
ISSN:0957-0233
Container-title:Measurement Science and Technology
language:
Short-container-title:Meas. Sci. Technol.

Author:

Ou Lu,Yu Dejie

Funder

The Advanced Design and Manufacturing of Automotive Body of Hunan University

National Natural Science Foundation of China

Publisher

IOP Publishing

Subject

Applied Mathematics,Instrumentation,Engineering (miscellaneous)

Link

http://stacks.iop.org/0957-0233/27/i=11/a=115007/pdf

Reference51 articles.

1. APPLICATION OF WAVELETS TO GEARBOX VIBRATION SIGNALS FOR FAULT DETECTION

2. APPLICATION OF SYNCHRONOUS AVERAGING TO VIBRATION MONITORING OF ROLLING ELEMENT BEARINGS

3. A novel method for multi-fault diagnosis of rotor system

4. Multi-Fault Feature Extraction and Diagnosis of Gear Transmission System Using Time-Frequency Analysis and Wavelet Threshold De-Noising Based on EMD

5. Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition

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1. A Smart CEEMDAN, Bessel Transform and CNN-Based Scheme for Compound Gear-Bearing Fault Diagnosis;Journal of Vibration Engineering & Technologies;2024-05-15

2. IGFT-MHCNN: An intelligent diagnostic model for motor compound faults based decoupling and denoising of multi-source vibration signals;Journal of Vibration and Control;2024-04-17

3. Fault feature selection for the identification of compound gear-bearing faults using firefly algorithm;The International Journal of Advanced Manufacturing Technology;2023-01-14

4. An intelligent compound gear-bearing fault identification approach using Bessel kernel-based time-frequency distribution;Metrology and Measurement Systems;2022-12-29

5. Gearbox compound fault diagnosis based on a combined MSGMD-MOMEDA method;Measurement Science and Technology;2021-12-21

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