State of the art on vibration signal processing towards data‐driven gear fault diagnosis-Reference-Cited by-同舟云学术

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State of the art on vibration signal processing towards data‐driven gear fault diagnosis

Published:2022-09-23 Issue:4 Volume:4 Page:249-266
ISSN:2516-8398
Container-title:IET Collaborative Intelligent Manufacturing
language:en
Short-container-title:IET Collab Intel Manufact

Author:

Zhang Shouhua¹²^ORCID,Zhou Jiehan¹^ORCID,Wang Erhua³,Zhang Hong²,Gu Mu⁴,Pirttikangas Susanna¹

Affiliation:

1. Faculty of Information Technology and Electrical Engineering University of Oulu Oulu Finland

2. School of Cyber Security and Computer Hebei University Baoding China

3. Changzhou College of Information Technology Changzhou China

4. Beijing Aerospace Smart Manufacturing Technology Development Co., Ltd Beijing China

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Computer Science Applications,Hardware and Architecture

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cim2.12064

Reference99 articles.

1. Latest developments in gear defect diagnosis and prognosis: A review

2. An investigation on gearbox fault detection using vibration analysis techniques: A review

3. A Hybrid Temporal Feature for Gear Fault Diagnosis Using the Long Short Term Memory

4. Feature Extraction Using Parameterized Multisynchrosqueezing Transform

5. A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery

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