Gearbox Fault Diagnosis Using the Short-time Cepstral Features-Reference-Cited by-同舟云学术

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Gearbox Fault Diagnosis Using the Short-time Cepstral Features

Published:2022-10-29 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Advanced Electrical Engineering (ICAEE)
language:
Short-container-title:

Author:

Abdenebi Rouigueb¹,Fethi Demim²,Abdelkrim Nemra²,Badis Djamaa¹

Affiliation:

1. Ecole Militaire Polytechnique,Optimization Techniques Laboratory,Bordj El Bahri,Algiers,Algeria

2. Ecole Militaire Polytechnique,Laboratoire de Guidage et Navigation,Bordj El Bahri,Algiers,Algeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9961845/9961963/09962139.pdf?arnumber=9962139

Reference23 articles.

1. Review: Artificial Intelligence for Fault Diagnosis of Rotating Machinery: A Review, Mechanical Systems and Signal Processing;liu,2016

2. What is the Prognosis on Your Maintenance Program;burgess;Engineering and Mining Journal,1995

3. Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences

4. Perceptual linear predictive (PLP) analysis of speech

5. A Comparison of Some Relevant Parametric Representations for Speaker Verification;homayounpour;Automatic Speaker Recognition Identification and Verification,1994

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. An Intelligent Ball Bearing Fault Diagnosis System Using Enhanced Rotational Characteristics on Spectrogram;Sensors;2024-01-25

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