کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6956508 | 1451876 | 2013 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Spectrum auto-correlation analysis and its application to fault diagnosis of rolling element bearings
ترجمه فارسی عنوان
تجزیه و تحلیل خودکار همبستگی طیفی و کاربرد آن در تشخیص خطا از بلبرینگ اجزای نورد
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
تجزیه و تحلیل خودکار همبستگی طیفی، تجزیه و تحلیل فرسایش بار، تجزیه و تحلیل پاکت مربع، گسل آغازگر، یاطاقان ¬ های رول،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
چکیده انگلیسی
Bearing failure is one of the most common reasons of machine breakdowns and accidents. Therefore, the fault diagnosis of rolling element bearings is of great significance to the safe and efficient operation of machines owing to its fault indication and accident prevention capability in engineering applications. Based on the orthogonal projection theory, a novel method is proposed to extract the fault characteristic frequency for the incipient fault diagnosis of rolling element bearings in this paper. With the capability of exposing the oscillation frequency of the signal energy, the proposed method is a generalized form of the squared envelope analysis and named as spectral auto-correlation analysis (SACA). Meanwhile, the SACA is a simplified form of the cyclostationary analysis as well and can be iteratively carried out in applications. Simulations and experiments are used to evaluate the efficiency of the proposed method. Comparing the results of SACA, the traditional envelope analysis and the squared envelope analysis, it is found that the result of SACA is more legible due to the more prominent harmonic amplitudes of the fault characteristic frequency and that the SACA with the proper iteration will further enhance the fault features.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 41, Issues 1â2, December 2013, Pages 141-154
Journal: Mechanical Systems and Signal Processing - Volume 41, Issues 1â2, December 2013, Pages 141-154
نویسندگان
A.B. Ming, Z.Y. Qin, W. Zhang, F.L. Chu,