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Reliability Parameter Interval Estimation of NC Machine Tools considering Working Conditions
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-26
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Aiming at the problem that the parameter interval estimation of NC machine tool’s reliability model considering working conditions established by Hongzhou is difficult to implement, given that it has several independent variables, an improved interval estimation method based on Bootstrap is proposed.
Firstly, the two-step estimation method was used to calculate the point estimation of NC machine tool’s reliability parameter in test field, based on which B resamplings are generated based on the point estimation.
The reliability parameter’s point estimation of the resamplings was obtained by maximum likelihood estimation.
Permutation of B point estimations was made in ascending order and the interval estimations were obtained by the α quantile of the permutation.
Case study indicated that the location and length of the interval estimation of NC machine tools’ reliability parameter, under different levels of working condition covariates, vary obviously.
American Psychological Association (APA)
Li, Hongzhou& Lixia, Sun. 2017. Reliability Parameter Interval Estimation of NC Machine Tools considering Working Conditions. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1190322
Modern Language Association (MLA)
Li, Hongzhou& Lixia, Sun. Reliability Parameter Interval Estimation of NC Machine Tools considering Working Conditions. Mathematical Problems in Engineering No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1190322
American Medical Association (AMA)
Li, Hongzhou& Lixia, Sun. Reliability Parameter Interval Estimation of NC Machine Tools considering Working Conditions. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1190322
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190322