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المؤلفTurkoz, Mehmet
المؤلفKim, Sangahn
المؤلفJeong, Young-Seon
المؤلفAl-Khalifa, Khalifa N.
المؤلفHamouda, Abdel Magid
تاريخ الإتاحة2016-12-22T07:56:54Z
تاريخ النشر2016-12
اسم المنشورQuality and Reliability Engineering International
المعرّفhttp://dx.doi.org/10.1002/qre.2096
الاقتباسTurkoz, M., Kim, S., Jeong, Y. -S., Al-Khalifa, K. N., and Hamouda, A. M. (2016) "Distribution-Free Adaptive Step-Down Procedure for Fault Identification." Quality and Reliability Engineering International, Speacial Issue: INFORMS 2015 Annual Meeting, vol 32, issue 8: 2701–2716.
الرقم المعياري الدولي للكتاب0748-8017
معرّف المصادر الموحدhttp://hdl.handle.net/10576/5122
الملخصIdentifying the faulty variables of the out-of-control signal in high-dimensional process is an important problem for quality control areas. Even though there have been several procedures for fault variable identifications, most of the existing approaches assume the multivariate normal distribution of observations and are sensitive to the correlations between variables. Therefore, in this paper, we propose a new fault variable identification method that does not assume any specific distribution of observations. The proposed procedure based on one class classification method identifies the changed variables by identifying unchanged variables at each step using the information obtained from the previous steps. This strategy can reduce computational times when a few variables are changed in a high-dimensional process. In addition, the proposed procedure is robust to the correlations between variables, resulting in stable performance regardless of the number of changed variables. The experiment results with diverse dataset demonstrate superiority of the proposed distribution-free procedure.
راعي المشروعPart of this work was supported by NPRP grants No.5-364-2-142, No.7-1040-2-393 from the Qatar National Research Fund and NRF-2015R1C1A1A01051487 from the National Research Foundation of Korea.
اللغةen
الناشرWiley
الموضوعdistribution-free
fault variable identification
multivariate statistical process control
support vector data description
Data description
Process control
العنوانDistribution-Free Adaptive Step-Down Procedure for Fault Identification
النوعConference Paper
الصفحات2701–2716
رقم العدد8
رقم المجلد32
ESSN1099-1638


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