Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

Life Prediction of Scraper Conveyor Based on Weibull Distribution Fault Diagnosis Theory

Authors
J. Yang, X.M. Ma, Z.S. Yang
Corresponding Author
J. Yang
Available Online July 2015.
DOI
10.2991/eame-15.2015.64How to use a DOI?
Keywords
life prediction; Weibull distribution; scraper conveyor; failure diagnostic
Abstract

Weibull distribution life prediction theory is proposed for analyzing fault diagnosis of scraper conveyor in this paper. The scraper conveyor of coal mining mechanization is one of the important equipments in coal producing process, which may be damaged in the operation of the equipment malfunction or failure and its equipment life is very short. Therefore, the timely working state monitoring system of the scraper conveyor can effectively protect the equipment safe and reliable operation to prevent accidents. Simulation results show the life of scraper conveyor can be analyzed with Weibull distribution life prediction theory to reflect the distribution of the fault, and the fault condition is calculated to prolong the scraper conveyor life.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
978-94-62520-71-4
ISSN
2352-5401
DOI
10.2991/eame-15.2015.64How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - J. Yang
AU  - X.M. Ma
AU  - Z.S. Yang
PY  - 2015/07
DA  - 2015/07
TI  - Life Prediction of Scraper Conveyor Based on Weibull Distribution Fault Diagnosis Theory
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 234
EP  - 237
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.64
DO  - 10.2991/eame-15.2015.64
ID  - Yang2015/07
ER  -