Methods based on CNC grinding fault Distribution Parameter Estimation for Reliability Assessment
- 10.2991/icmmita-16.2016.52How to use a DOI?
- Reliability; Probability density function; Least square method; Parameter estimation; MTBF; CNC grinding machine tools
Fault distribution type identification and probability density function parameters estimation are the prerequisite of CNC grinding machine tools' reliability assessment. The procedure of fault data grouping,the technique of probability density function parameters estimation based on least square method and the method of reliability index(mean time between failures, MTBF)calculation are proposed. The probability density function parameters estimation and curve fitting,the comparison of goodness of fit,the MTBF solution of some type crankshaft are carried out by the method proposed in the paper. The results of statistical calculation and direct calculation by definition are close. The procedure of reliability assessment proposed here can be programmed easily and it provides one measure for reliability assessment of CNC grinding machine tools.
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jinwei Fan AU - Shi Ji AU - Hongliang Wang AU - Lanqing Zhang AU - Haohao Tao PY - 2017/01 DA - 2017/01 TI - Methods based on CNC grinding fault Distribution Parameter Estimation for Reliability Assessment BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 291 EP - 296 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.52 DO - 10.2991/icmmita-16.2016.52 ID - Fan2017/01 ER -