Design for Reliability of Robotic Systems Based on the Prognostic Approach

This work presents an iterative methodology for reliability design of production equipment based on the diagnostic and prognostic approach. The proposed method starts with the FMECA analysis in order to identify the main critical components of mechanical systems (e.g. robotic cells, robots, automatic machines). The mitigation actions are selected evaluating a design review of the project or imposing a maintenance strategy by critical component. This selection is defined by the calculated risk (e.g. risk priority number) and the life cycle cost assessment of the production equipment. The analysis of failure causes may support in evaluating preventive or predictive techniques focused on physical or data driven models. The use of a general database that collects and shares information from systems/components already installed in the field permits to analyse life and performance data in real time in an integrated closed loop. This research is a part of PROGRAMS: PROGnostics based Reliability Analysis for Maintenance Scheduling, H2020-FOF-09-2017-767287.

[1]  Benoît Iung,et al.  Generic prognosis model for proactive maintenance decision support: application to pre-industrial e-maintenance test bed , 2010, J. Intell. Manuf..

[2]  Alberto Borboni,et al.  A Robot Gripper in Polymeric Material for Solid Micro-Meso Parts , 2017, Int. J. Autom. Technol..

[3]  Wei Yao,et al.  Application of FMECA Analysis in Mechanical Condition Monitoring of Breaker , 2017, 2017 Second International Conference on Mechanical, Control and Computer Engineering (ICMCCE).

[4]  Robin R. Murphy,et al.  Follow-up analysis of mobile robot failures , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[5]  Jyoti,et al.  A state-ofthe-art review of FMEA / FMECA including patents , .

[6]  Dong‐Shang Chang,et al.  Applying DEA to enhance assessment capability of FMEA , 2009 .

[7]  George Chryssolouris,et al.  A RUL calculation approach based on physical-based simulation models for predictive maintenance , 2017, 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC).

[8]  M. Yousef Ibrahim,et al.  Data-Driven System Reliability and Failure Behavior Modeling Using FMECA , 2016, IEEE Transactions on Industrial Informatics.

[9]  Balbir S. Dhillon,et al.  Robot systems reliability and safety: a review , 2002 .

[10]  Monica Tiboni,et al.  Condition monitoring of a mechanical indexing system with artificial neural networks , 2017 .

[11]  Chao Chen,et al.  Modified FMECA of Motorized Spindle Unit Based on Maintenance Cost , 2018, 2018 Annual Reliability and Maintainability Symposium (RAMS).

[12]  Lei Zhang,et al.  A review of fault prognostics in condition based maintenance , 2006, International Symposium on Instrumentation and Control Technology.

[13]  Basim Al-Najjar,et al.  Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making , 2003 .

[14]  Benoît Iung,et al.  Methodology for assessing system performance loss within a proactive maintenance framework , 2009, ArXiv.

[15]  Daming Lin,et al.  A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .

[16]  Daoud Ait Kadi,et al.  A STATE-OF-THE-ART REVIEW OF FMEA/FMECA , 1994 .

[17]  T. Jason Dukes,et al.  FMECA-based analyses: A SMART foundation , 2017, 2017 Annual Reliability and Maintainability Symposium (RAMS).

[18]  Monica Tiboni,et al.  Comparison of Signal Processing Techniques for Condition Monitoring Based on Artificial Neural Networks , 2018, Applied Condition Monitoring.

[19]  Caterina Rizzi,et al.  A state-of-the-art review of FMEA/FMECA including patents , 2017, Comput. Sci. Rev..

[20]  Pradeep K. Khosla,et al.  An analysis of cooperative repair capabilities in a team of robots , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[21]  Gionata Carmignani,et al.  An integrated structural framework to cost-based FMECA: The priority-cost FMECA , 2009, Reliab. Eng. Syst. Saf..

[22]  Li Jun,et al.  Reliability Analysis of Aircraft Equipment Based on FMECA Method , 2012 .

[23]  Samuel H. Huang,et al.  System health monitoring and prognostics — a review of current paradigms and practices , 2006 .