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Alpha-Stable Distribution and Multifractal Detrended Fluctuation Analysis-Based Fault Diagnosis Method Application for Axle Box Bearings
المؤلفون المشاركون
Xiong, Qing
Peng, Yiqiang
Zhang, Weihua
Xu, Yanhai
Deng, Pengyi
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-11-12
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
A railway vehicle’s key components, such as wheelset treads and axle box bearings, often suffer from fatigue failures.
If these faults are not detected and dealt with in time, the running safety of the railway vehicle will be seriously affected.
To detect these components’ early failure and extend their fatigue life, a regular maintenance becomes critical.
Currently, the regular maintenance of axle box bearings mainly depends on manual off-line inspection, which has low working efficiency and precision of fault diagnosis.
In order to improve the maintenance efficiency and effectiveness of railway vehicles, this study proposes a method of integrating the vibration monitoring system of the axle box bearing in the underfloor wheelset lathe, where the integration scheme and work flow of the system are introduced followed by the detailed fault diagnosis method and application examples.
Firstly, the band-pass filter and envelope analysis is successively performed on the original signal acquired by an accelerometer.
Secondly, the alpha-stable distribution (ASD) and multifractal detrended fluctuation analysis (MFDFA) analysis of the envelope signal are performed, and five characteristic parameters with significant stability and sensitivity are extracted and then brought into the least squares support vectors machine based on particle swarm optimization to determine the state of the bearing quantitatively.
Finally, the effectiveness of the method is validated by bench test data.
The results demonstrated that the proposed method can accomplish effective diagnosis of axle box bearings’ fault location and fault degree and can yield better diagnosis accuracy than the single method of ASD or MFDFA.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xiong, Qing& Zhang, Weihua& Xu, Yanhai& Peng, Yiqiang& Deng, Pengyi. 2018. Alpha-Stable Distribution and Multifractal Detrended Fluctuation Analysis-Based Fault Diagnosis Method Application for Axle Box Bearings. Shock and Vibration،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1215056
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xiong, Qing…[et al.]. Alpha-Stable Distribution and Multifractal Detrended Fluctuation Analysis-Based Fault Diagnosis Method Application for Axle Box Bearings. Shock and Vibration No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1215056
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xiong, Qing& Zhang, Weihua& Xu, Yanhai& Peng, Yiqiang& Deng, Pengyi. Alpha-Stable Distribution and Multifractal Detrended Fluctuation Analysis-Based Fault Diagnosis Method Application for Axle Box Bearings. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1215056
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1215056
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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