Username   Password       Forgot your password?  Forgot your username? 


On-Condition Maintenance Decision on EMU Bogie

Volume 15, Number 5, May 2019, pp. 1381-1388
DOI: 10.23940/ijpe.19.05.p14.13811388

Yonghua Lia, Hongjie Yub, Yuehua Gaoa, and Xiaojia Liangb

aSchool of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, 116028, China
bCRRC Changchun Railway Vehicles Co. Ltd, Changchun, 130062, China


(Submitted on December 13, 2018; Revised on January 14, 2019; Accepted on February 15, 2019)


Aiming at solving the problem that the current on-condition maintenance (OCM) time is not accurate, this paper proposes an OCM policy based on historical failure data, real-time condition monitoring data, and the Weibull proportional intensity model (WPIM). Firstly, taking the mean distance between failures (MDBF) during the actual operation of Electric Multiple Unit (EMU) as the design variable and the failure rate of the structure and the wheel set as the adjoint variable, a WPIM model is established. Then, based on the solved model, a physical programming method is introduced to ensure the cost and reliability under the expected range. Finally, taking the bogie as the research object, the effectiveness and application value of the proposed maintenance policy in the bogie maintenance decision-making are verified through analysis, providing a theoretical basis for the OCM maintenance classification and maintenance system optimization of bogies.

References: 20

    1. P. P. Zhi, Y. H. Li, and B. Z. Chen, “Structural Strength Analysis of Bogie Frames Considering Parameter Uncertainty,” China Mechanical Engineering, Vol. 30, No. 1, pp. 22-29, January 2019
    2. S. P. Zhu, H. Z. Huang, Y. F. Li, Y. Liu, and Y. J. Yang, “Probabilistic Modeling of Damage Accumulation for Fatigue Reliability Analysis,” Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail & Rapid Transit, Vol. 229, No. 1, pp. 23-33, January 2015
    3. Y. Liu and H. Z. Huang, “Optimal Selective Maintenance Strategy for Multi-State Systems under Imperfect Maintenance,” IEEE Transactions on Reliability, Vol. 59, No. 2, pp. 356-367, June 2010
    4. Y. Liu and H. Z. Huang, “Optimal Replacement Policy for Multi-State System under Imperfect Maintenance,” IEEE Transactions on Reliability, Vol. 59, No. 3, pp. 483-495, September 2010
    5. Z. L. Wang, H. Z. Huang, and X. P. Du, “Optimal Design Accounting for Reliability, Maintenance, and Warranty,” Journal of Mechanical Design, Vol. 132, No. 1, pp. 011007-1-011007-8, January 2010
    6. H. K. Wang, H. Z. Huang, Y. F. Li, and Y. J. Yang, “Condition-based Maintenance with Scheduling Threshold and Maintenance Threshold,” IEEE Transactions on Reliability, Vol. 65, No. 2, pp. 513-524, November 2016
    7. H. P. Li, E. Deloux, and L. Dieulle, “A Condition-based Maintenance Policy for Multi-Component Systems with LéVy Copulas Dependence,” Reliability Engineering & System Safety, Vol. 149, pp. 44-55, May 2016
    8. F. Q. Yuan and K. Uday, “Proportional Intensity Model Considering Imperfect Repair for Repairable Systems,” International Journal of Performability Engineering, Vol. 9, No. 2, pp. 163-174, January 2013
    9. S. Annamraju and V. N. A. Naikan, “Imperfect Repair Proportional Intensity Models for Maintained Systems,” IEEE Transactions on Reliability, Vol. 60, No. 7, pp. 782-787, December 2011
    10. Q. Zhang, C. Hua, and G. H. Xu, “A Mixture Weibull Proportional Hazard Model for Mechanical System Failure Prediction Utilising Lifetime and Monitoring Data,” Mechanical Systems and Signal Processing, Vol. 43, No. 1, pp. 103-112, February 2014
    11. J. H. Zhou, L. Chen, W. Wang, and B. Huang, “Multidisciplinary Collaborative Satisfaction Negotiation based on the Physical Programming Method in Product Design,” Applied Mechanics and Materials, Vol. 157, pp. 258-256, February 2012
    12. A. Rosmaini and K. Shahrul, “An Overview of Timebased and Condition-based Maintenance in Industrial Application,” Computer & Industrial Engineering, Vol. 63, No. 1, pp. 135-149, August 2012
    13. S. M. Asadzadeh and A. Azadeh, “An Integrated Systemic Model for Optimization of Condition-based Maintenance with Human Error,” Reliability Engineering & System Safety, Vol. 124, pp. 117-131, April 2014
    14. N. C. Caballé, I. T. Castro, C. J. Pérez, and J. M. Lanza-Gutiérrez, “A Condition-based Maintenance of a Dependent Degradation-Threshold-Shock Model in a System with Multiple Degradation Processes,” Reliability Engineering & System Safety, Vol. 124, pp. 98-109, February 2015
    15. I. T. Castro, “An Age-based Maintenance Strategy for a Degradation-Threshold-Shock-Model for a System Subjected to Multiple Defects,” Asia-Pacific Journal of Operational Research, Vol. 30, No. 6, pp. 1350016-1350029, August 2013
    16. D. Lin, D. Banjevic, and A. K. S. Jardine, “Using Principal Components in a Proportional Hazards Model with Application in Condition-based Maintenance,” Journal of the Operational Research Society, Vol. 57, No. 8, pp. 910-919, August 2006
    17. H. Mirgolababei and T. Echikki, “Nonlinear Reduction of Combustion Composition Space with Kernel Principal Component Analysis,” Combustion and Flame, Vol. 161, No. 1, pp. 118-126, January 2014
    18. Y. H. Li and Y. M. Song, “Robust Optimization of the Main Girder in Crane based on Physical Programming,” Machine Design and Research, Vol. 22, No. 5, pp. 78-81, October 2006
    19. G. Reynoso-Meza, J. Sanchis, X. Blasco, and G. N. Sergio, “Physical Programming for Preference Driven Evolutionary Multi-Objective Optimization,” Applied Soft Computing, Vol. 24, pp. 341-362, November 2014
    20. A. Messac and A. Ismail-yahaya, “Multi-Objective Robust Design using Physical Programming,” Structural and Multidisciplinary Optimization, Vol. 23, No. 5, pp. 357-371, June 2002


    Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

    This site uses encryption for transmitting your passwords.