Methods based on CNC grinding fault Distribution Parameter Estimation for Reliability Assessment

DOI

10.2991/icmmita-16.2016.52How to use a DOI?

Keywords

Reliability; Probability density function; Least square method; Parameter estimation; MTBF; CNC grinding machine tools

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

© 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/).

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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  -