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Peak-Based Mode Decomposition for Weak Fault Feature Enhancement and Detection of Rolling Element Bearing
المؤلفون المشاركون
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-04-09
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Rolling element bearings are widely used in rotating machinery to support shafts, whose failures may affect the health of the whole system.
However, strong noise interferences often make the bearing fault features submerged and difficult to be identified.
Peak-based wavelet method is such a way to reduce certain noise and enhance the fault features by increasing the sparsity of monitored signals.
But peak-based wavelet parameters need to be optimized due to the determined basis function and constant resolution, which will affect the efficiency of vibration signal analysis.
To address these problems, a peak-based mode decomposition is proposed for weak bearing fault feature enhancement and detection.
Firstly, to enhance the differences between repetitive transients and high-frequency noise, a peak-based piecewise recombination is used to convert the middle frequency parts into low-frequency ones.
Then, the recombined signal is processed by empirical mode decomposition, combining with a criterion of cross-correlation coefficients and kurtosis.
Subsequently, a backward peak transformation is performed to obtain the enhanced signal.
Finally, the fault diagnosis is implemented by the squared envelope spectrum, whose normalized squared magnitude is used as a bearing fault indicator.
The analysis results of the simulated signals and the experimental signals show that the proposed method can enhance and identify the weak repetitive transient features.
The superiority of the proposed method for faint repetitive transient detection is also verified by comparing with the peak-based wavelet method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xu, Zhi& Tang, Gang& He, Mengfu. 2020. Peak-Based Mode Decomposition for Weak Fault Feature Enhancement and Detection of Rolling Element Bearing. Shock and Vibration،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1213651
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xu, Zhi…[et al.]. Peak-Based Mode Decomposition for Weak Fault Feature Enhancement and Detection of Rolling Element Bearing. Shock and Vibration No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1213651
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xu, Zhi& Tang, Gang& He, Mengfu. Peak-Based Mode Decomposition for Weak Fault Feature Enhancement and Detection of Rolling Element Bearing. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1213651
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1213651
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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