A Novel Deep Sparse Filtering Method for Intelligent Fault Diagnosis by Acoustic Signal Processing
المؤلفون المشاركون
Wang, Jinrui
Wang, Xiaoyu
Jia, Sixiang
Han, Baokun
He, Jingtao
Zhang, Guowei
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-07-26
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Increased attention has been paid to research on intelligent fault diagnosis under acoustic signals.
However, the signal-to-noise ratio of acoustic signals is much lower than vibration signals, which increases the difficulty of signal denoising and feature extraction.
To solve the above defect, a novel batch-normalized deep sparse filtering (DSF) method is proposed to diagnose the fault through the acoustic signals of rotating machinery.
In the first stage, the collected acoustic signals are prenormalized to eliminate the adverse effects of singular samples, and then the normalized signal is transformed into frequency-domain signal through fast Fourier transform (FFT).
In the second stage, the learned features are obtained by training batch-normalized DSF with frequency-domain signals, and then the features are fine-tuned by backpropagation (BP) algorithm.
In the third stage, softmax regression is used as a classifier for heath condition recognition based on the fine-tuned features.
Bearing and planetary gear datasets are used to validate the diagnostic performance of the proposed method.
The results show that the proposed DSF model can extract more powerful features and less computing time than other traditional methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Guowei& Wang, Jinrui& Han, Baokun& Jia, Sixiang& Wang, Xiaoyu& He, Jingtao. 2020. A Novel Deep Sparse Filtering Method for Intelligent Fault Diagnosis by Acoustic Signal Processing. Shock and Vibration،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1212831
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Guowei…[et al.]. A Novel Deep Sparse Filtering Method for Intelligent Fault Diagnosis by Acoustic Signal Processing. Shock and Vibration No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1212831
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Guowei& Wang, Jinrui& Han, Baokun& Jia, Sixiang& Wang, Xiaoyu& He, Jingtao. A Novel Deep Sparse Filtering Method for Intelligent Fault Diagnosis by Acoustic Signal Processing. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1212831
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1212831
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر