Research on Fault Distribution Parameters Estimation and Reliability Assessment of CNC Grinding Machine Tools

DOI

10.2991/mmeceb-15.2016.184How to use a DOI?

Keywords

Reliability Probability Density Function Least Square Method Parameter Estimation MTBF CNC

Abstract

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.

Copyright

© 2016, 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/).

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TY  - CONF
AU  - JinWei Fan
AU  - Shi Ji
AU  - Shuai Yuan
PY  - 2015/12
DA  - 2015/12
TI  - Research on Fault Distribution Parameters Estimation and Reliability Assessment of CNC Grinding Machine Tools
BT  - Proceedings of the 2015 2nd International Conference on Machinery, Materials Engineering, Chemical Engineering and Biotechnology
PB  - Atlantis Press
SP  - 918
EP  - 921
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmeceb-15.2016.184
DO  - 10.2991/mmeceb-15.2016.184
ID  - Fan2015/12
ER  -