Mission reliability estimation of mobile robot system
Panagiotis H. Tsarouhas () and
George K. Fourlas ()
Additional contact information
Panagiotis H. Tsarouhas: Technological Educational Institute of Central Macedonia
George K. Fourlas: Technological Education Institute of Lamia
International Journal of System Assurance Engineering and Management, 2016, vol. 7, issue 2, No 9, 220-228
Abstract:
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.
Keywords: Reliability; Applied statistics; Failure data; Mobile robot (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s13198-015-0408-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:7:y:2016:i:2:d:10.1007_s13198-015-0408-9
Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198
DOI: 10.1007/s13198-015-0408-9
Access Statistics for this article
International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar
More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().