Reliability Parameter Interval Estimation of NC Machine Tools considering Working Conditions
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...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2017-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2017/4037903 |
id |
doaj-c6821c0958de47138c15a25439cb0cd9 |
---|---|
record_format |
Article |
spelling |
doaj-c6821c0958de47138c15a25439cb0cd92020-11-24T23:48:40ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/40379034037903Reliability Parameter Interval Estimation of NC Machine Tools considering Working ConditionsLi Hongzhou0Sun Lixia1College of Mechanical Engineering, Beihua University, Jilin 132013, ChinaCollege of Mechanical Engineering, Beihua University, Jilin 132013, ChinaAiming 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.http://dx.doi.org/10.1155/2017/4037903 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Li Hongzhou Sun Lixia |
spellingShingle |
Li Hongzhou Sun Lixia Reliability Parameter Interval Estimation of NC Machine Tools considering Working Conditions Mathematical Problems in Engineering |
author_facet |
Li Hongzhou Sun Lixia |
author_sort |
Li Hongzhou |
title |
Reliability Parameter Interval Estimation of NC Machine Tools considering Working Conditions |
title_short |
Reliability Parameter Interval Estimation of NC Machine Tools considering Working Conditions |
title_full |
Reliability Parameter Interval Estimation of NC Machine Tools considering Working Conditions |
title_fullStr |
Reliability Parameter Interval Estimation of NC Machine Tools considering Working Conditions |
title_full_unstemmed |
Reliability Parameter Interval Estimation of NC Machine Tools considering Working Conditions |
title_sort |
reliability parameter interval estimation of nc machine tools considering working conditions |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2017-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2017/4037903 |
work_keys_str_mv |
AT lihongzhou reliabilityparameterintervalestimationofncmachinetoolsconsideringworkingconditions AT sunlixia reliabilityparameterintervalestimationofncmachinetoolsconsideringworkingconditions |
_version_ |
1725485258197958656 |