带有新型离群点检测器的弹性 S2 监测图

IF 2.2 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL
Ayesha Awais, Nadia Saeed
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引用次数: 0

摘要

虽然研究人员和从业人员一直在努力开发各种方法,以尽量减少控制图中异常值的影响,但检测和筛选这些异常值仍然是一项严峻的挑战。有鉴于此,研究人员依靠稳健估计器来修改检测极限结构,从而使控制图对异常值更加敏感。在本研究中,我们提出了一种基于 、 、 、 和估计器的稳健控制图,而过程参数是从第一阶段开始估计的。通过密集的蒙特卡洛模拟,本研究介绍了参数估计和异常值的存在如何影响控制图的功效,以及所提出的异常值检测器如何通过恢复控制图的功效和灵敏度使其恢复正常。平均特性被用作性能衡量标准。这些属性证明了所提出的方案优于图基离群点检测器。这项研究的适用性包括所提出的检测器在工业数据集中的有效性,但并不局限于制造业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A resilient S2 monitoring chart with novel outlier detectors
While researchers and practitioners are seamlessly trying to develop methods for minimizing the effect of outliers in control charts, detecting and screening these outliers continue to pose serious challenges. Keeping in view, the researchers rely on robust estimators to modify the detection limits structure so that the chart can be more sensitive against outliers. In this study, we propose a robust control chart based on , , , , and estimators, whilst the process parameter is estimated from Phase‐I. Through intensive Monte‐Carlo simulations, the study presents how the estimation of parameter(s) and presence of outliers affect the efficacy of the chart, and then how the proposed outlier detectors bring the chart back to normalcy by restoring its efficacy and sensitivity. Average properties are used as the performance measures. The properties establish the superiority of the proposed scheme over and Tukey's outlier detectors. The applicability of the study includes the effectiveness of the proposed detectors in industrial data set but is not limited to manufacturing industries.
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来源期刊
CiteScore
4.90
自引率
21.70%
发文量
181
审稿时长
6 months
期刊介绍: Quality and Reliability Engineering International is a journal devoted to practical engineering aspects of quality and reliability. A refereed technical journal published eight times per year, it covers the development and practical application of existing theoretical methods, research and industrial practices. Articles in the journal will be concerned with case studies, tutorial-type reviews and also with applications of new or well-known theory to the solution of actual quality and reliability problems in engineering. Papers describing the use of mathematical and statistical tools to solve real life industrial problems are encouraged, provided that the emphasis is placed on practical applications and demonstrated case studies. The scope of the journal is intended to include components, physics of failure, equipment and systems from the fields of electronic, electrical, mechanical and systems engineering. The areas of communications, aerospace, automotive, railways, shipboard equipment, control engineering and consumer products are all covered by the journal. Quality and reliability of hardware as well as software are covered. Papers on software engineering and its impact on product quality and reliability are encouraged. The journal will also cover the management of quality and reliability in the engineering industry. Special issues on a variety of key topics are published every year and contribute to the enhancement of Quality and Reliability Engineering International as a major reference in its field.
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