Analysis of Acceleration Data Using Low-Power Embedded Devices to Detect Gear Faults-Reference-Cited by-同舟云学术

Analysis of Acceleration Data Using Low-Power Embedded Devices to Detect Gear Faults

Published:2023-08-26 Issue: Volume: Page:
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Container-title:2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
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Author:

Rupprecht Bernhard¹,Sendlbeck Stefan²,Vogel-Heuser Birgit¹,Brederlow Ralf³,Knoll Erich²,Stahl Karsten²

Affiliation:

1. Institute of Automation and Information Systems, TUM School of Engineering and Design, Technical University of Munich,Germany

2. Institute of Machine Elements, TUM School of Engineering and Design, Technical University of Munich,Germany

3. TUM School of Computation, Information and Technology, Technical University of Munich,Chair of Circuit Design,Germany

Funder

German Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10260321/10260291/10260299.pdf?arnumber=10260299

Reference37 articles.

1. Evaluation of a Vibration Diagnostic System for the Detection of Spiral Bevel Gear Pitting Failures;townsend;Seventh International Power Transmission and Gearing Conference,0

2. Vibration-based gear condition monitoring using an improved section-specific approach without the need of historic reference data;sendlbeck;27th International Congress on Sound and Vibration (ICSV2021),0

3. Gear fault detection using artificial neural networks and support vector machines with genetic algorithms

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