Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set

المؤلفون المشاركون

Li, Yuan
Yu, Haibin
Xie, Yanhong
Li, Jinna
Zhang, Cheng

المصدر

Journal of Applied Mathematics

العدد

المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-17، 17ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2012-10-16

دولة النشر

مصر

عدد الصفحات

17

التخصصات الرئيسية

الرياضيات

الملخص EN

A novel fault detection technique is proposed to explicitly account for the nonlinear, dynamic, and multimodal problems existed in the practical and complex dynamic processes.

Just-in-time (JIT) detection method and k-nearest neighbor (KNN) rule-based statistical process control (SPC) approach are integrated to construct a flexible and adaptive detection scheme for the control process with nonlinear, dynamic, and multimodal cases.

Mahalanobis distance, representing the correlation among samples, is used to simplify and update the raw data set, which is the first merit in this paper.

Based on it, the control limit is computed in terms of both KNN rule and SPC method, such that we can identify whether the current data is normal or not by online approach.

Noted that the control limit obtained changes with updating database such that an adaptive fault detection technique that can effectively eliminate the impact of data drift and shift on the performance of detection process is obtained, which is the second merit in this paper.

The efficiency of the developed method is demonstrated by the numerical examples and an industrial case.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Li, Jinna& Li, Yuan& Yu, Haibin& Xie, Yanhong& Zhang, Cheng. 2012. Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-1029012

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Li, Jinna…[et al.]. Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set. Journal of Applied Mathematics No. 2012 (2012), pp.1-17.
https://search.emarefa.net/detail/BIM-1029012

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Li, Jinna& Li, Yuan& Yu, Haibin& Xie, Yanhong& Zhang, Cheng. Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-17.
https://search.emarefa.net/detail/BIM-1029012

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1029012