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Mission reliability estimation of mobile robot system

Author

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  • Panagiotis H. Tsarouhas

    (Technological Educational Institute of Central Macedonia)

  • George K. Fourlas

    (Technological Education Institute of Lamia)

Abstract

Reliability analysis of a mobile robot system over a period of 34 months was carried out. Most of the failure modes were identified and the descriptive statistics at component level were calculated. Several theoretical distributions were applied and the best fit of failure data was identified. Furthermore, the reliability, probability density functions and hazard rate modes for all components and the entire system were calculated. It was found out that, (a) the encoder and the tires stand for 73.8 % of all the failures of the mobile robot system, (b) for the mobile robot the time-between-failure ranges from 5 to 2128 h, and (c) the highest reliability is observed at the battery, whereas the lowest reliability is observed at the encoder. The proposed method could be a useful tool towards assessing the current conditions, and predicting reliability for improving the mobile robot maintenance policy, and for helping robot manufacturers to improve the design and operation of the system that they manufacture and operate.

Suggested Citation

  • Panagiotis H. Tsarouhas & George K. Fourlas, 2016. "Mission reliability estimation of mobile robot system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(2), pages 220-228, June.
    • Handle: RePEc:spr:ijsaem:v:7:y:2016:i:2:d:10.1007_s13198-015-0408-9
    DOI: 10.1007/s13198-015-0408-9
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    References listed on IDEAS

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    1. Barabady, Javad & Kumar, Uday, 2008. "Reliability analysis of mining equipment: A case study of a crushing plant at Jajarm Bauxite Mine in Iran," Reliability Engineering and System Safety, Elsevier, vol. 93(4), pages 647-653.
    2. Hongzhou Wang & Hoang Pham, 2006. "Reliability and Optimal Maintenance," Springer Series in Reliability Engineering, Springer, number 978-1-84628-325-3, March.
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