عرض بسيط للتسجيلة

المؤلفYeganeh, Ali
المؤلفShadman, Alireza
المؤلفAbbasi, Saddam Akber
تاريخ الإتاحة2022-03-20T06:23:16Z
تاريخ النشر2022-02-12
اسم المنشورNeural Computing and Applications
المعرّفhttp://dx.doi.org/10.1007/s00521-022-06962-7
الاقتباسYeganeh, A., Shadman, A. & Abbasi, S.A. Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model. Neural Comput & Applic (2022). https://doi.org/10.1007/s00521-022-06962-7
الرقم المعياري الدولي للكتاب09410643
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85124552176&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/28321
الملخصWhile numerous contributions and applications have been extended in profile monitoring, little attention has been paid to employing machine learning techniques in development of control charts. In this paper, a novel control chart based on artificial neural network is proposed to improve the performance of monitoring general linear profiles in Phase II. Specifically, an ensemble of radial basis functions (RBF) is added to the predefined base control chart to enhance the detection ability of the control chart for monitoring linear profile parameters based on the average run length (ARL) criterion. The performance of the proposed method is evaluated by adjusting the multivariate exponentially weighted moving average (MEWMA) control chart as a base control chart under simple and multiple linear profiles. The simulation results demonstrate that the proposed approach is very efficient than competing existing methods for monitoring linear profile parameters. Moreover, profile diagnosis actions, referring to the identification of shifted parameters, are provided based on the RBF networks. Finally, we provide an example from thermal management to illustrate the implementation of the proposed monitoring scheme and diagnostic method.
راعي المشروعThis research is supported by Ferdowsi University of Mashhad, under Grant No. 51697.
اللغةen
الناشرSpringer
الموضوعArtificial neural network (ANN)
Control chart
Ensemble-based control chart
Linear profiles
Profile monitoring
Radial basis function (RBF)
Statistical process control (SPC)
العنوانEnhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model
النوعArticle
ESSN1433-3058
dc.accessType Full Text


الملفات في هذه التسجيلة

Thumbnail

هذه التسجيلة تظهر في المجموعات التالية

عرض بسيط للتسجيلة