Abstract
Based on a small commercial aircraft mechatronic equipment field data which were collected, we made use of three-parameter Weibull distribution model to analyze the fault data, and theoretically studied the random censoring data preprocessing method, correlation coefficient optimization method, and the least square method combined with parameter estimation method in detail, and circularly solved the example in MATLAB by programming. We used the K-S test method and Monte Carlo simulation to test the result of reliability evaluation. The results show that this paper has put forward the model that properly fits the mechatronic equipment field data, and the calculation process is rigorous with strong operability. This model can be used to accurately obtain the mechatronic equipment reliability distribution, failure rate distribution, and to provide a scientific basis for improvement of equipment and its repair method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhao Y, Yang J (2009) Reliability data analysis (in Chinese). Beijing University of Aeronautics and Astronautics Press, Beijing
He GF (1997) Field reliability data of interval estimation (in Chinese). Electron Prod Reliab Environ Test (1):19–24
Gao HX (1995) Statistical calculation (in Chinese). Peking University Press, Beijing
He GF, Xu GB (1995) Collection and analysis of reliable data (in Chinese). National Defence Industry Press, Beijing
Shi J, Yang X, Chen X (2009) Comparative study on parameter estimation methods for 3-parameter Weibull distribution (in Chinese). J Henan Agric Univ (4):405–410
Yu XH, Zhang LB, Wang ZH, Duan LX (2007) Reliability life analysis of the equipment based on new Weibull distribution parameter estimation method (in Chinese). J Mech Strength 29(6):932–936
Wang L, Xu Y, Zhang J (2008) Research on reliability analysis model for key components and parts of railway equipment and its application (in Chinese). J China Railway Soc (8):93–98
Bailey RT (2006) Estimation from zero-failure data. Risk Anal 17(3):375–380(2006)
Singpurwalla ND, Song MS (1988) Reliability analysis using Weibull lifetime data and expert opinion. IEEE Trans Reliab 37(3):340–347
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhou, R., Zhang, J., Shang, B. (2014). Reliability Evaluation for Mechatronic Equipment Truncation Life Data Based on the Weibull Distribution Model. In: Wang, J. (eds) Proceedings of the First Symposium on Aviation Maintenance and Management-Volume I. Lecture Notes in Electrical Engineering, vol 296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54236-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-54236-7_14
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54235-0
Online ISBN: 978-3-642-54236-7
eBook Packages: EngineeringEngineering (R0)