Data-Driven Condition Monitoring of Mining Mobile Machinery in Non-Stationary Operations Using Wireless Accelerometer Sensor Modules-Reference-Cited by-同舟云学术

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Data-Driven Condition Monitoring of Mining Mobile Machinery in Non-Stationary Operations Using Wireless Accelerometer Sensor Modules

Published:2021 Issue: Volume:9 Page:17365-17381
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Aqueveque Pablo,Radrigan Luciano^ORCID,Pastene Francisco^ORCID,Morales Anibal S.^ORCID,Guerra Ernesto^ORCID

Funder

Center for Industry 4.0 from the Faculty of Engineering of Universidad de Concepción, Chile

ANID, Chile

CONICYT FONDEQUIP

CONICYT through the scholarship CONICYT-PFCHA/Doctorado Nacional/2020

FIAEC N°1, Universidad Católica de la Santísima Concepción (UCSC), Chile

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09324826.pdf?arnumber=9324826

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3. Integrated Maintenance Management to Increase the Availability of Drilling Equipment: Case Study in a Peruvian Mine;Advances in Science and Technology;2024-04-16

4. An In-Depth Study of Vibration Sensors for Condition Monitoring;Sensors;2024-01-23

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