Approximate mean value analysis method of maintenance ability for civil aeroengine maintenance workshop

TANG Xin-min; HAN Song-chen

Volume 8 Issue 4

Turn off MathJax

Article Contents

Article Navigation > Journal of Traffic and Transportation Engineering > 2008 > 8(4): 77-83

Next Previous

TANG Xin-min, HAN Song-chen. Approximate mean value analysis method of maintenance ability for civil aeroengine maintenance workshop[J]. Journal of Traffic and Transportation Engineering, 2008, 8(4): 77-83.

Citation:

TANG Xin-min, HAN Song-chen. Approximate mean value analysis method of maintenance ability for civil aeroengine maintenance workshop[J]. Journal of Traffic and Transportation Engineering, 2008, 8(4): 77-83.

Citation:

PDF( 637 KB)

Approximate mean value analysis method of maintenance ability for civil aeroengine maintenance workshop

School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China

More Information

Author Bio:
TANG Xin-min(1979-), male, lecturer, PhD, +86-25-84893461, tangxinmin@nuaa.edu.cn
Received Date: 2008-03-25
Publish Date: 2008-08-25

Abstract

Abstract

To evaluate the scale of aeroengines fleet under the available maintenance capacity of civil aeroengine maintenance workshop, an approximate mean value analysis method of the maintenance ability was proposed.The transferring model of aeroengine in the workshop was built by using extended stochastic Petri net, multi-level maintenance service performance indexes were revised by using single level performance indexes, squared variation coefficient method was used to approximate service time with normal distribution, and the evaluation results of the ability by using approximate mean value analysis method and simulation method were compared.The result indicates that the maximal relative error of queuing length for maintenance sections is 9.14%, part checking, handcrafted repairing and mechanical machining are the bottlenecks of the workshop performance, so the method is proved to be efficient.
- civil aeroengine,
- maintenance ability of workshop,
- approximate mean value analysis,
- extended stochastic Petri net

FullText(HTML)

References(10)

References

[1]	GATLAND R, YANG E, BUXTON K. Solving enginemaintenance capacity problems with simulation[C]//Georgia Institute of Technology. Proceedings of the 29th Conferenceon Winter Si mulation. Washington DC: IEEE Computer Society, 1997: 892-899.
[2]	BAZARGAN M, MCGRATH R N. Discrete event simulation to improve aircraft availability and maintainability[C]//Tampa Florida. 2003 Proceedings of Annual Reliability and Maintainability Symposium. New Jersey: IEEE Operation Center, 2003: 63-67.
[3]	WANG Zi-qin, SONG Wen-zhong, FENG Chun-bo. Analysis and optimization of DEDS(discrete event dynamic systems)—queueing network model method[J]. Information and Control, 1989, 18(6): 31-44. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XXYK198906006.htm
[4]	ZUO Hong-fu, ZHANG Hai-jun, RONG Xiang. Conditionbased aero-engine maintenance decision method using proportional hazards model[J]. Journal of Aerospace Power, 2006, 21(4): 716-721. (in Chinese) doi: 10.3969/j.issn.1000-8055.2006.04.018
[5]	LU Jing-tang. Application of queuing theory in fuel pumprepair[J]. Systems Engineering-Theory and Practice, 2000, 20(6): 83-90. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL200006014.htm
[6]	LI UJian, YU De-jie, LI Rong, et al. Research on general stochastic Petri net based maintenance system simulation and optimization[J]. Chinese Journal of Mechanical Engineering, 2005, 41(10): 164-169. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JXXB200510034.htm
[7]	HENDERSON W, TAYLOR P G. Embedded processes instochastic Petri nets[J]. IEEE Transactions on Software Engineering, 1991, 17(2): 108-116. doi: 10.1109/32.67592
[8]	SERENO M, BALBO G. Mean value analysis of stochastic Petrinets[J]. Performance Evaluation, 1997, 29(1): 35-62.
[9]	BALBO G, BRUELL S C, SERENO M. Arrival theorems for product—form stochastic Petri nets[C]//ACM. Proceedings ofthe 1994 ACM SIGMETRICS Conference on Measurement and Modeling of Computer Systems. New York: ACM, 1994: 87-97.
[10]	SERENO M. Approxi mate mean value analysis technique fornon-product form solution stochastic Petri nets: an application to stochastic marked graphs[C]//Duke University. Proceedings of the 16th International Workshop on Petri Netsand Performance Models. Washington DC: IEEE Computer Society, 1995: 42-51.