Reliability analysis of the control system of large-scale vertical mixing equipment

Abstract

The control system of vertical mixing equipment is a concentrate distributed monitoring system (CDMS). A reliability analysis model was built and its analysis was conducted based on reliability modeling theories such as the graph theory, Markov process, and redundancy theory. Analysis and operational results show that the control system can meet all technical requirements for high energy composite solid propellant manufacturing. The reliability performance of the control system can be considerably improved by adopting a control strategy combined with the hot spared redundancy of the primary system and the cold spared redundancy of the emergent one. The reliability performance of the control system can be also improved by adopting the redundancy strategy or improving the quality of each component and cable of the system.

References

1. Yi P Yang S Du R et al.Distributed monitoring system reliability estimationwith consideration of statistical uncertaintyChinese Journal of Mechanical Engineering (English Edition) 2005 18(4)519524
2. Yi P Du R Yang S et al.Study on Markov model based reliability for distributedmonitoring systemChinese Journal of MechanicalEngineering 2005 41(6)143148(in Chinese)
3. Tang J Mechanicalsystem reliability analysis using a combination of graph theory andBoolean functionReliability Engineeringand System Safety 2001 72(1)2130. doi:10.1016/S0951‐8320(00)00099‐5
4. Hu Y Du R Yang S Reliability analysis for monitoring and measuring systemwith hierarchy and redundancy structureChinese Journal of Mechanical Engineering 2003 39(8)110115(in Chinese)
5. Wang J Markov-chainbased reliability analysis for distributed systemsComputers and Electrical Engineering 2004 30183205. doi:10.1016/j.compeleceng.2002.02.001
6. Dai Y Xie M Poh K et al.Study of service reliability and availability fordistributed systemsReliability Engineeringand System Safety 2003 79(1)103112. doi:10.1016/S0951‐8320(02)00200‐4
7. Azaron A Katagiri H Sakawa M et al.Reliability function of a class of time-dependentsystems with standby redundancyEuropeanJournal of Operational Research 2005 164(2)378386. doi:10.1016/j.ejor.2003.10.044
8. Sharma R Kumar D Kumar P Predicting uncertain behavior of industrial system usingFM – a practical caseApplied SoftComputing 2008 8(1) 96109. doi:10.1016/j.asoc.2006.11.006
9. Li S Li X Reliability of dual hot-redundantrepairable systemTechniques of Automationand Applications 2006 (12)1820(in Chinese)
10. Zheng J Lu L Reliability analysis of dualhot-redundant reparable fault tolerant control systemJournal of China Textile University 1999 25(1)6769(in Chinese)