Wayside Bearing Fault Diagnosis Based on Envelope Analysis Paved with Time-Domain Interpolation Resampling and Weighted-Correlation-Coefficient-Guided Stochastic Resonance
المؤلفون المشاركون
Lu, Siliang
Liu, Fang
Liu, Yongbin
Zhao, Jiwen
Qian, Qiang
He, Qingbo
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-01-04
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
Envelope spectrum analysis is a simple, effective, and classic method for bearing fault identification.
However, in the wayside acoustic health monitoring system, owing to the high relative moving speed between the railway vehicle and the wayside mounted microphone, the recorded signal is embedded with Doppler effect, which brings in shift and expansion of the bearing fault characteristic frequency (FCF).
What is more, the background noise is relatively heavy, which makes it difficult to identify the FCF.
To solve the two problems, this study introduces solutions for the wayside acoustic fault diagnosis of train bearing based on Doppler effect reduction using the improved time-domain interpolation resampling (TIR) method and diagnosis-relevant information enhancement using Weighted-Correlation-Coefficient-Guided Stochastic Resonance (WCCSR) method.
First, the traditional TIR method is improved by incorporating the original method with kinematic parameter estimation based on time-frequency analysis and curve fitting.
Based on the estimated parameters, the Doppler effect is removed using the TIR easily.
Second, WCCSR is employed to enhance the diagnosis-relevant period signal component in the obtained Doppler-free signal.
Finally, paved with the above two procedures, the local fault is identified using envelope spectrum analysis.
Simulated and experimental cases have verified the effectiveness of the proposed method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Yongbin& Qian, Qiang& Liu, Fang& Lu, Siliang& He, Qingbo& Zhao, Jiwen. 2017. Wayside Bearing Fault Diagnosis Based on Envelope Analysis Paved with Time-Domain Interpolation Resampling and Weighted-Correlation-Coefficient-Guided Stochastic Resonance. Shock and Vibration،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1204248
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Yongbin…[et al.]. Wayside Bearing Fault Diagnosis Based on Envelope Analysis Paved with Time-Domain Interpolation Resampling and Weighted-Correlation-Coefficient-Guided Stochastic Resonance. Shock and Vibration No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1204248
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Yongbin& Qian, Qiang& Liu, Fang& Lu, Siliang& He, Qingbo& Zhao, Jiwen. Wayside Bearing Fault Diagnosis Based on Envelope Analysis Paved with Time-Domain Interpolation Resampling and Weighted-Correlation-Coefficient-Guided Stochastic Resonance. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1204248
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1204248
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