Intelligent Process Abnormal Patterns Recognition and Diagnosis Based on Fuzzy Logic

المؤلفون المشاركون

Hou, Shi-wang
Feng, Shunxiao
Wang, Hui

المصدر

Computational Intelligence and Neuroscience

العدد

المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2016-12-12

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

الأحياء

الملخص EN

Locating the assignable causes by use of the abnormal patterns of control chart is a widely used technology for manufacturing quality control.

If there are uncertainties about the occurrence degree of abnormal patterns, the diagnosis process is impossible to be carried out.

Considering four common abnormal control chart patterns, this paper proposed a characteristic numbers based recognition method point by point to quantify the occurrence degree of abnormal patterns under uncertain conditions and a fuzzy inference system based on fuzzy logic to calculate the contribution degree of assignable causes with fuzzy abnormal patterns.

Application case results show that the proposed approach can give a ranked causes list under fuzzy control chart abnormal patterns and support the abnormity eliminating.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Hou, Shi-wang& Feng, Shunxiao& Wang, Hui. 2016. Intelligent Process Abnormal Patterns Recognition and Diagnosis Based on Fuzzy Logic. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1099787

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Hou, Shi-wang…[et al.]. Intelligent Process Abnormal Patterns Recognition and Diagnosis Based on Fuzzy Logic. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1099787

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Hou, Shi-wang& Feng, Shunxiao& Wang, Hui. Intelligent Process Abnormal Patterns Recognition and Diagnosis Based on Fuzzy Logic. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1099787

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1099787