Monitoring process stability for life test with normal censored control charts

Linbo Wang; Yihai He; Chao Yin; Shen Zhen

doi:10.1109/MIC.2013.6758090

Monitoring process stability for life test with normal censored control charts

Linbo Wang
, Yihai He
, Chao Yin
, Shen Zhen

School of Reliability and Systems Engineering

Beihang University

Research output: Contribution to conference › Paper › peer-review

Abstract

Due to the limitation of experimental conditions, incomplete data is often obtained in life test, which is known as censored data, and the traditional SPC charts that perform well in dealing with complete sample data are not suitable to analyze the censored data. To solve this problem, this paper focuses the discussion on the censored normal distribution, and proposes a new control chart named CTAN (Censored To Appropriate Normal) to monitor the stability of life test process. By a comparison with existing method through an example, the proposed control chart is proved to be more simple and effective in dealing with censored data and can be better used in monitoring the censored properties from the life test process.

Original language	English
Pages	826-829
Number of pages	4
DOIs	https://doi.org/10.1109/MIC.2013.6758090
State	Published - 2013
Event	2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013 - Harbin, China Duration: 16 Aug 2013 → 18 Aug 2013

Conference

Conference	2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013
Country/Territory	China
City	Harbin
Period	16/08/13 → 18/08/13

Keywords

Censored data
Censored normal distribution
Control chart
Life test

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10.1109/MIC.2013.6758090

Cite this

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title = "Monitoring process stability for life test with normal censored control charts",

abstract = "Due to the limitation of experimental conditions, incomplete data is often obtained in life test, which is known as censored data, and the traditional SPC charts that perform well in dealing with complete sample data are not suitable to analyze the censored data. To solve this problem, this paper focuses the discussion on the censored normal distribution, and proposes a new control chart named CTAN (Censored To Appropriate Normal) to monitor the stability of life test process. By a comparison with existing method through an example, the proposed control chart is proved to be more simple and effective in dealing with censored data and can be better used in monitoring the censored properties from the life test process.",

keywords = "Censored data, Censored normal distribution, Control chart, Life test",

author = "Linbo Wang and Yihai He and Chao Yin and Shen Zhen",

year = "2013",

doi = "10.1109/MIC.2013.6758090",

language = "英语",

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TY - CONF

T1 - Monitoring process stability for life test with normal censored control charts

AU - Wang, Linbo

AU - He, Yihai

AU - Yin, Chao

AU - Zhen, Shen

PY - 2013

Y1 - 2013

N2 - Due to the limitation of experimental conditions, incomplete data is often obtained in life test, which is known as censored data, and the traditional SPC charts that perform well in dealing with complete sample data are not suitable to analyze the censored data. To solve this problem, this paper focuses the discussion on the censored normal distribution, and proposes a new control chart named CTAN (Censored To Appropriate Normal) to monitor the stability of life test process. By a comparison with existing method through an example, the proposed control chart is proved to be more simple and effective in dealing with censored data and can be better used in monitoring the censored properties from the life test process.

AB - Due to the limitation of experimental conditions, incomplete data is often obtained in life test, which is known as censored data, and the traditional SPC charts that perform well in dealing with complete sample data are not suitable to analyze the censored data. To solve this problem, this paper focuses the discussion on the censored normal distribution, and proposes a new control chart named CTAN (Censored To Appropriate Normal) to monitor the stability of life test process. By a comparison with existing method through an example, the proposed control chart is proved to be more simple and effective in dealing with censored data and can be better used in monitoring the censored properties from the life test process.

KW - Censored data

KW - Censored normal distribution

KW - Control chart

KW - Life test

UR - https://www.scopus.com/pages/publications/84897521685

U2 - 10.1109/MIC.2013.6758090

DO - 10.1109/MIC.2013.6758090

M3 - 论文

AN - SCOPUS:84897521685

SP - 826

EP - 829

T2 - 2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013

Y2 - 16 August 2013 through 18 August 2013

ER -

Monitoring process stability for life test with normal censored control charts

Abstract

Conference

Keywords

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