کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6953378 | 1451818 | 2019 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Development of a novel knock characteristic detection method for gasoline engines based on wavelet-denoising and EMD decomposition
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
The main contribution of this paper is inventing a novel knock characteristic extraction method using vibration signals. Engine knock reduces the thermal efficiency and restricts performance improvement of a gasoline engine. Reliable and rapid detection of engine knock characteristics (including light knock) is key for the engine knock control. Based on the wavelet-denoising and empirical mode decomposition (EMD) methods and the analysis results, this paper discovers that the wavelet-denoising can eliminate the high frequency noise that was not generated by the engine knock. After the wavelet-denoising, EMD decomposition can effectively identify the knock characteristics (include the light knock) from a vibration signal. Compared to existing knock detection methods, the new method in this paper can reduce the computational time while ensuring the reliability of the knock detection.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 117, 15 February 2019, Pages 517-536
Journal: Mechanical Systems and Signal Processing - Volume 117, 15 February 2019, Pages 517-536
نویسندگان
Fengrong Bi, Teng Ma, Xu Wang,