دورية أكاديمية

Intelligent Ball Bearing Fault Diagnosis Using Fractional Lorenz Chaos Extension Detection

التفاصيل البيبلوغرافية
العنوان: Intelligent Ball Bearing Fault Diagnosis Using Fractional Lorenz Chaos Extension Detection
المؤلفون: An-Hong Tian, Cheng-Biao Fu, Yu-Chung Li, Her-Terng Yau
المصدر: Sensors, Vol 18, Iss 9, p 3069 (2018)
بيانات النشر: MDPI AG, 2018.
سنة النشر: 2018
المجموعة: LCC:Chemical technology
مصطلحات موضوعية: ball bearing, fractional Lorenz chaos system, Extension theory, Chua’s Circuit fault diagnosis, Chemical technology, TP1-1185
الوصف: In this study we used a non-autonomous Chua’s circuit, and the fractional Lorenz chaos system. This was combined with the Extension theory detection method to analyze the voltage signals. The bearing vibration signals, measured using an acceleration sensor, were introduced into the master and slave systems through a Chua’s circuit. In a chaotic system, minor differences can cause significant changes that generate dynamic errors. The matter-element model extension can be used to determine the bearing condition. Extension theory can be used to establish classical and sectional domains using the dynamic errors of the fault conditions. The results obtained were compared with those from discrete Fourier transform analysis, wavelet analysis and an integer order chaos system. The diagnostic rate of the fractional-order master and slave chaotic system could reach 100% if the fractional-order parameter adjustment was used. This study presents a very efficient and inexpensive method for monitoring the state of ball bearings.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1424-8220
Relation: http://www.mdpi.com/1424-8220/18/9/3069; https://doaj.org/toc/1424-8220
DOI: 10.3390/s18093069
URL الوصول: https://doaj.org/article/86c675a3deab4b6b9f17495890584b1d
رقم الأكسشن: edsdoj.86c675a3deab4b6b9f17495890584b1d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14248220
DOI:10.3390/s18093069