Method of Defining Diagnostic Features to Monitor the Condition of the Belt Conveyor Gearbox with the Use of the Legged Inspection Robot

Author:

Stefaniak PawelORCID,Anufriiev SergiiORCID

Publisher

Springer Singapore

Reference16 articles.

1. Stefaniak, P., et al.: Some remarks on using condition monitoring for spatially distributed mechanical system belt conveyor network in underground mine-a case study. In: Fakhfakh, T., Bartelmus, W., Chaari, F., Zimroz, R., Haddar, M. (eds.) Condition Monitoring of Machinery in Non-stationary Operations, pp. 497–507. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-28768-8_51

2. Applied Condition Monitoring;P Stefaniak,2018

3. Wei, Y., Wu, W., Liu, T., Sun, Y.: Study of coal mine belt conveyor state on-line monitoring system based on DTS. In: Proceedings of SPIE - The International Society for Optical Engineering, vol. 8924, Article number 89242I (2013)

4. Kuttalakkani, M., Natarajan, R., Singh, A.K., Vijayakumar, J., Arunan, S., Sarojini, L.: Sensor based effective monitoring of coal handling system (CHS). Int. J. Eng. Technol. 5(3), 2432–2435 (2013)

5. Eliasson, J., Kyusakov, R., Martinsson, P.-E., Eriksson, T., Oeien, C.: An Internet of Things approach for intelligent monitoring of conveyor belt rollers. In: 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2013, CM 2013 and MFPT 2013, vol. 2, pp. 1096–1104 (2013)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3