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Simultaneous-Fault Diagnosis of Gas Turbine Generator Systems Using a Pairwise-Coupled Probabilistic Classifier
المؤلفون المشاركون
Wong, Pak-kin
Yang, Zhixin
Zhong, Jianhua
Liang, JieJunYi
Vong, Chi Man
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-07-24
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
A reliable fault diagnostic system for gas turbine generator system (GTGS), which is complicated and inherent with many types of component faults, is essential to avoid the interruption of electricity supply.
However, the GTGS diagnosis faces challenges in terms of the existence of simultaneous-fault diagnosis and high cost in acquiring the exponentially increased simultaneous-fault vibration signals for constructing the diagnostic system.
This research proposes a new diagnostic framework combining feature extraction, pairwise-coupled probabilistic classifier, and decision threshold optimization.
The feature extraction module adopts wavelet packet transform and time-domain statistical features to extract vibration signal features.
Kernel principal component analysis is then applied to further reduce the redundant features.
The features of single faults in a simultaneous-fault pattern are extracted and then detected using a probabilistic classifier, namely, pairwise-coupled relevance vector machine, which is trained with single-fault patterns only.
Therefore, the training dataset of simultaneous-fault patterns is unnecessary.
To optimize the decision threshold, this research proposes to use grid search method which can ensure a global solution as compared with traditional computational intelligence techniques.
Experimental results show that the proposed framework performs well for both single-fault and simultaneous-fault diagnosis and is superior to the frameworks without feature extraction and pairwise coupling.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Zhixin& Wong, Pak-kin& Vong, Chi Man& Zhong, Jianhua& Liang, JieJunYi. 2013. Simultaneous-Fault Diagnosis of Gas Turbine Generator Systems Using a Pairwise-Coupled Probabilistic Classifier. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1032192
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Zhixin…[et al.]. Simultaneous-Fault Diagnosis of Gas Turbine Generator Systems Using a Pairwise-Coupled Probabilistic Classifier. Mathematical Problems in Engineering No. 2013 (2013), pp.1-14.
https://search.emarefa.net/detail/BIM-1032192
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Zhixin& Wong, Pak-kin& Vong, Chi Man& Zhong, Jianhua& Liang, JieJunYi. Simultaneous-Fault Diagnosis of Gas Turbine Generator Systems Using a Pairwise-Coupled Probabilistic Classifier. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-1032192
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1032192
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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