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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 3, Pages 967-1,003, DOI: https://doi.org/10.21307/ijssis-2017-690
License : (CC BY-NC-ND 4.0)
Received Date : 15-March-2014 / Accepted: 24-June-2014 / Published Online: 01-September-2014
Compared with time based maintenance (TBM), Condition based maintenance (CBM) can improved the availability of the devices and reduced the examining maintenance cost. However, CBM possibly arouse an unexpected interference on production process due to an unplanned maintenance activity in advance so that the stable-state operation of the system was influenced. As the system scale was larger, this accidental disturbance should not be ignored. Based on the viewpoint, we first constructed a full-life cycle four-state model of the device, and then simplified it as three-state model based on some practical considerations in this paper. On the basis of it, the paper analyzed its reliability operation characteristics as the checking items being constants, and then proposed a dynamic real-time iterative control strategy on the checking items according to the practical state of the devices under CBM, and investigated its availability and adaptability. Moreover, the paper still performed devices state evaluation, and analyzed the control error and the selection of control timing, and etc, which further expounded the availability of control strategy. In the end, the paper still conducted probability simulation on it, and some simulation experiments had been done. The related investigated results and the simulation results show that the proposed method in the paper is effective and available, and can ensure the system normal working not to be influenced by maintenance activities.
 X. Zhang, W. Wang, and S. He, “Operation and Maintenance on Grid Connected Wind Power Plant”, China Machine Press, Beijing, 2011.
 H. Su, “Reliability and Security Characteristics Analysis on Complicated Equipment Operation”, International Journal of Control and Automation, vol. 6, no. 5, 2013, pp. 227-246.
 W. M. Goble, “Control System Safety Evaluation and Reliability”, ISA, Raleigh, 2010.
 H. Zuo, J. Cai and H. Wang, “Maintenance Decision Theory and Method”, Aviation Industry Press, Beijing, 2008.
 P. A. Scarf, “A framework for condition monitoring and condition based maintenance”, Quality Technology and Quantitative Management, vol. 4, no. 2, 2007, pp. 301-312.
 W. Wang, D. Banjevic and M. Pecht, “A multi-component and multi-failure mode inspection model based on the delay time concept”, Reliability Engineering & System Safety, vol. 95, no. 8, 2010, pp. 912-920.
 J. Cao and G. Chen, “Reliability Mathematics Introduction(Revised Edition)”, High Education Press, Beijing, 2006.
 A. M. Smith, “Reliability Centered Maintenance”, McGraw-Hill, New York, 1993.
 M. Rausand(Edition) and Q. Guo(Translation), “System Reliability Theory: Models, Statistics Methods, and Apllication(2nd Edition)”, National Defense Industry Press, Beijing, 2010.
 D. Shi, “Evolution Method of Stochastic Model Density”, Science Press, Beijing, 1999.
 D. Ding, “Reliability and Maintenance-Repairing Engineering”, Electronics Engineering Press, Beijing, 1986.
 M. Driels, “Linear control systems engineering”, McGraw-Hill, New Yor k, 1996.
 J. Sheng, C. Xie and C. Pan, “Probability Theory and Mathematical Statistics”, Zhejiang University Press, Hangzhou, 1996.
 G. Gong and M. Qian, “Applied Random Process”, Tsinghua University Press, Beijing, 2004.
 D. Chen, N. Shi and Y. Wu, “Matrix Theory in Control Systems”, Science Press, Beijing, 2011.
 M. Sheldon(Edition) and G. Gong(Translation), “Introduction to Probability Models”, Posts and Telecom Press, Beijing, 2011.
 S. Neduncheliyan, M. Umapathy and D. Ezhilarasi, “Simultaneous periodic output feedback control for piezoelectric actuated structures using interval methods”, International Journal on Smart Sensing and Intelligent Systems, vol. 2, no. 3, 2009, pp. 417-431.
 S.C. Mukhopadhyay, T. Ohji, M. Iwahara and S. Yamada, "Modeling and Control of a New Horizontal Shaft Hybrid Type Magnetic Bearing", IEEE Transactions on Industrial Electronics, Vol. 47, No. 1, pp. 100-108, February 2000.
 D. Zheng, “Linear Control Theory”, Tsinghua University Publishing House, Beijing, 2002.
 A. Papoulis, “Probability, random variables, and stochastic processes”, McGrow-Hill, New York, 1991, pp. 182-264.
 G. Sen Gupta, S.C. Mukhopadhyay, S. Demidenko and C.H. Messom, “Master-slave Control of a Teleoperated Anthropomorphic Robotic Arm with Gripping Force Sensing”, IEEE Transactions on Instrumentation and Measurement, Vol. 55, No. 6, pp. 2136-2145, December 2006.
 D. Shi and X. Zeng, “Interval stability and roust stability for linear time-varying systems”, Control Theory and Applications, vol. 11, no. 1, 1994, pp. 34-39.
 S.D.T. Kelly, N.K. Suryadevara, and S. C. Mukhopadhyay, "Towards the Implementation of IoT for Environmental Condition Monitoring in Homes" IEEE SENSORS JOURNAL, VOL. 13, NO. 10, OCTOBER 2013, pp. 3846-3853.
 P. Feng, Z. Wang, W. Zhu and Y. Shi, “A new method to evaluate the stability of linear time varying system”, Journal of Liaoning University of Petroleum & Chemical Technology, vol. 24, no. 1, 2004, pp. 49-51.
 H. Stark and J. W. Woods, “Probability, Statistics, and Random Processes for Engineers(4th Edition)”, Pearson Education, Inc. 2012.