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Optical fiber sensors for coal mine shaft integrity and equipment condition monitoring

Zhu, F., Wang, G., Liu, T., Ma, G., Grattan, K. T. V. ORCID: 0000-0003-2250-3832, Zhang, H., Fu, J., Liu, X., Hu, B. and Li, Y. (2019). Optical fiber sensors for coal mine shaft integrity and equipment condition monitoring. Proceedings of SPIE - The International Society for Optical Engineering, 11340, 113401Y. doi: 10.1117/12.2548154


Shaft is an important structure of mine. Deep mining increases mine pressure, induces shaft deformation and affects mine normal lifting. How to improve the inspection efficiency, reduce the maintenance cost and ensure the normal operation of the shaft is an important problem facing the mine. The paper introduces the optical fiber sensing technology to monitor the equipment status of the main shaft, puts forward the implementation scheme of the optical fiber monitoring of shaft deformation, and sets up a shaft equipment condition monitoring system based on the optical fiber sensing technology. It can realize equipment displacement monitoring, strain monitoring and vibration signal monitoring in the process of shaft operation. Comprehensive on-line monitoring of shaft running state can be realized, which opens up a new method for shaft deformation monitoring technology. Fiber optic sensing monitoring technology is of great significance to the safe operation of shaft.

Publication Type: Article
Additional Information: Copyright SPIE (2019) Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.
Publisher Keywords: optical fiber sensors, shaft equipment condition monitoring, vibration signal, stress and strain, displacement
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments: School of Mathematics, Computer Science & Engineering > Engineering > Electrical & Electronic Engineering
Date Deposited: 06 Mar 2020 13:53
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