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Aeroengine Control System Sensor Fault Diagnosis Based on CWT and CNN
المؤلفون المشاركون
Zheng, Hua
Gou, Linfeng
Li, Huihui
Li, Huacong
Pei, Xiaoning
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-01-22
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The aeroengine control system is a piece of complex thermal machinery which works under high-speed, high-load, and high-temperature environmental conditions over lengthy periods of time; it must be designed for the utmost reliability and safety to function effectively.
The consequences of sensor faults are often extremely serious.
The inherent complexity of the engine structure creates difficulty in establishing accurate mathematical models for the model-based sensor fault diagnosis.
This paper proposes an intelligent fault diagnosis method for aeroengine sensors combining a deep learning algorithm with time-frequency analysis wherein the signal recognition problem is transformed into an image recognition problem.
The continuous wavelet transform (CWT) is first applied to seven common health condition signals in an engine control system sensor in order to generate scalograms that capture the characteristics of the signal.
A convolutional neural network (CNN) model trained with preprocessed and labeled datasets is then used to extract the features of a time-frequency graph based on which faults can be identified and isolated.
This method does not require modeling and design thresholds, so it has strong robustness and accuracy rate of over 97%.
The trained model effectively reveals faults in sensor signals and allows for accurate identification of fault types.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gou, Linfeng& Li, Huihui& Zheng, Hua& Li, Huacong& Pei, Xiaoning. 2020. Aeroengine Control System Sensor Fault Diagnosis Based on CWT and CNN. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1195881
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gou, Linfeng…[et al.]. Aeroengine Control System Sensor Fault Diagnosis Based on CWT and CNN. Mathematical Problems in Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1195881
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gou, Linfeng& Li, Huihui& Zheng, Hua& Li, Huacong& Pei, Xiaoning. Aeroengine Control System Sensor Fault Diagnosis Based on CWT and CNN. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1195881
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1195881
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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