Skip to main content
Log in

Mission reliability estimation of mobile robot system

  • Case Study
  • Published:
International Journal of System Assurance Engineering and Management Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Ascher H, Feingold H (1984) Repairable system reliability: modeling, inference, misconceptions and their causes. Marcel Dekker, New York, Basel

    MATH  Google Scholar 

  • Barabady J, Kumar U (2008) Reliability analysis of mining equipment: a case study of crushing plan at Jajarm Bauxite mine in Iran. Reliab Eng Syst Saf 93:647–653. doi:10.1016/j.ress.2007.10.006

    Article  Google Scholar 

  • Bererton C, Khosla P (2002) An analysis of cooperative repair capabilities in a team of robots. In: Proceedings of 2002 IEEE international conference robotics and automation, pp 476-486. doi:10.1109/ROBOT.2002.1013405

  • Carlson J, Murphy RR (2003) Reliability analysis of mobile robots. In: Proceedings of the IEEE annual reliability and maintainability symposium (vol 1), pp 274–281. doi:10.1109/ROBOT.2003.1241608

  • Carlson J, Murphy RR and Nelson A (2004) Follow up analysis of mobile robot failures. In: Proceedings of the IEEE annual reliability and maintainability symposium 5:4987–4994. doi:10.1109/ROBOT.2004.1302508

  • Carreras C, Walker ID (2000) On interval methods applied to robot reliability quantification. Reliab Eng Syst Saf 70(3):291–303. doi:10.1016/S0951-8320(00)00063-6

    Article  Google Scholar 

  • Cherroun L, Boumehraz M (2014) Path following behavior for an autonomous mobile robot using neuro-fuzzy controller. Int J Syst Assur Eng Manag 5(3):352–360. doi:10.1007/s13198-013-0174-5

    Article  Google Scholar 

  • Dhillon BS, Anude OC (1993) Robot safety and reliability: a review. Microelectron Reliab 3(3):413–429. doi:10.1016/0026-2714(93)90030-3

    Article  MathSciNet  MATH  Google Scholar 

  • Dhillon BS, Fashandi ARM (1997) Robotic system’s probabilistic analysis. Microelectron Reliab 37(2):211–224. doi:10.1016/S0026-2714(96)00074-1

    Article  Google Scholar 

  • Dhillon BS, Yang N (1996) Availability analysis of a robot with safety system. Microelectron Reliab 36(2):169–177. doi:10.1016/0026-2714(95)00103-9

    Article  Google Scholar 

  • Foucher B, Das D, Boulie J, Meslet B (2002) A review of reliability prediction methods for electronic devices. Microelectron Reliab 42(8):1155–1162. doi:10.1016/S0026-2714(02)00087-2

    Article  Google Scholar 

  • Gustafson A, Schunnesson H, Kumar U (2015) Reliability analysis and comparison between automatic and manual load haul dump machines. Qual Reliab Eng Int 31:523–531. doi:10.1002/qre.1610

    Article  Google Scholar 

  • Hoshino S, Seki H, Ota J (2011) Optimal maintenance strategy in fault-tolerant multi-robot systems. In: IEEE/RSJ international conference on intelligent robots and systems, September 25–30, pp 2314–2320. doi:10.1109/IROS.2011.6094528

  • Khodabandehloo K (1996) Analysis of robot systems using fault and event trees: case studies. Reliab Eng Syst Saf 53(3):247–264. doi:10.1016/S0951-8320(96)00052-X

    Article  Google Scholar 

  • Kumar A, Sharma SP, Kumar D (2007) Robot reliability using Petri nets and fuzzy lambda-tau Methodology. In: Proceeding of the 3rd international conference on reliability and safety engineering, Udaipur, pp 517–521

  • Kumar N, Borm J-H, Kumar A (2012) Reliability analysis of waste clean-up manipulator using genetic algorithms and fuzzy methodology. Comput Oper Res 39:310–319. doi:10.1016/j.cor.2011.04.005

    Article  MathSciNet  MATH  Google Scholar 

  • MIL-HDBK-189 (1981) Relibility growth management. Headquartes, US Army Communication Research and Development Command, ATTN: DRDCO-PT, Fort Monmouth, NJ, USA

  • MIL-HDBK-338B (1998) Electronic Reliability Design Handbook. Department of Defense, USA, pp 44–97

  • Nourbakhsh I (2003) The mobot museum robot installations: a five year experiment. In: Proceedings of the IEEE/RSJ IROS 2003 workshop on robots in exhibitions, pp 14–19. doi:10.1109/IROS.2003.1249720

  • Philip A, Sharma RK (2013) A stochastic reward net approach for reliability analysis of a flexible manufacturing module. Int J Syst Assur Eng Manag 4(3):293–302. doi:10.1007/s13198-013-0175-4

    Article  Google Scholar 

  • Rausand M, Høyland A (2004) System reliability theory, models, statistical methods, and applications. Wiley Series in Probability and Statistics, pp 35–74

  • Rigdon SE, Basu AP (2000) Statistical methods for the reliability of repairable systems. Wiley, New York, pp 73–110

    MATH  Google Scholar 

  • Sharma SP, Sukavanam N, Kumar N, Kumar A (2010) Reliability analysis of complex robotic system using Petri nets and fuzzy lambda-tau methodology. Eng Comput 27(3):354–364. doi:10.1108/02644401011029925

    Article  MATH  Google Scholar 

  • Sharma SP, Kumar D, Kumar A (2012) Reliability analysis of complex multi-robotic system using GA and fuzzy methodology. Appl Soft Comput 12:405–415. doi:10.1016/j.asoc.2011.08.031

    Article  Google Scholar 

  • Stancliff SB, Dolan JM, Trebi-Ollenu A (2006) Mission reliability estimation for repairable robot teams. Int J Adv Rob Syst 3(2):155–164

    Google Scholar 

  • Starr A, Wynne R, Kennedy I (1999) Failure analysis of mature robots in automated production. In Proceedings of the institution of mechanical engineers-part B (J Eng Manuf) 213:813–824. doi:10.1243/0954405991517245

  • Tomatis N, Terrien G, Piguet R, Burnier D, Bouabdallah S, Siegwart R (2002) Design and system integration for the expo.02 robot. In: Proceedings of the IEEE/RSJ IROS 2002 workshop on robots in exhibitions, pp 67–72

  • Tsarouhas P (2012) Reliability, availability, and maintainability (RAM) analysis in food production lines: a review. Int J Food Sci Technol 47(11):2243–2251. doi:10.1111/j.1365-2621.2012.03073.x

    Article  Google Scholar 

  • Tsarouhas PH (2014a) Maintainability analysis in the yogurt industry. Int J Syst Assur Eng Manag. doi:10.1007/s13198-014-0254-1

    Google Scholar 

  • Tsarouhas PH (2014b) Application of statistical approaches for analyzing the reliability and maintainability of food production lines: a case study of mozzarella cheese. In: Granato D, Ares G (eds) Mathematical and statistical methods in food science and technology. Wiley, New York, pp 491–510

    Google Scholar 

  • Tsarouhas PH, Arvanitoyannis IS (2014) Yogurt production line: reliability analysis. Prod Manuf Res 2(1):11–23. doi:10.1080/21693277.2014.881268

    Google Scholar 

  • Tsarouhas P, Fourlas G (2014) Reliability analysis of the mobile robot: a case study. In: International conference on mechanical engineering (ME’14), Venice, Italy, March 15–17, 1:151–155

  • Tsarouhas PH, Fourlas G (2015) Reliability and maintainability analysis of a robotic system for industrial applications: a case study. Int J Perform Eng 11(5):453–462

    Google Scholar 

  • Vagenas N, Runciman N, Clement SR (1997) A methodology for maintenance analysis of mining equipment. Int J Surf Min Reclam Environ 11(1):33–40. doi:10.1080/09208119708944053

    Article  Google Scholar 

  • Wang H, Pham H (2006) Reliability and optimal maintenance. Springer-Verlag London Limited, London Limited, NJ, USA

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Panagiotis H. Tsarouhas.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tsarouhas, P.H., Fourlas, G.K. Mission reliability estimation of mobile robot system. Int J Syst Assur Eng Manag 7, 220–228 (2016). https://doi.org/10.1007/s13198-015-0408-9

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13198-015-0408-9

Keywords

Navigation