کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4976982 1451842 2017 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Acoustic emission characteristics of a single cylinder diesel generator at various loads and with a failing injector
ترجمه فارسی عنوان
ویژگی های انتشار آکوستیک یک دیزل ژنراتور تک سیلندر در بارهای مختلف و با یک انژکتور شکست خورده
کلمات کلیدی
موتور دیزل، انتشار آکوستیک، تشخیص مکانیکی، اشتباه نظارت بر وضعیت،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
Acoustic emission sensing techniques have been applied in recent years to dynamic machinery with varying degrees of success in diagnosing various component faults and distinguishing between operating conditions. This work explores basic properties of acoustic emission signals measured on a small single cylinder diesel engine in a laboratory setting. As reported in other works in the open literature, the measured acoustic emission on the engine is mostly continuous mode and individual burst events are generally not readily identifiable. Therefore, the AE are processed into the local (instantaneous) root mean square (rms) value of the signal which is averaged over many cycles to obtain a mean rms AE in the crank angle domain. Crank-resolved spectral representation of the AE is also given but rigorous investigation of the AE spectral qualities is left to future study. Cycle-to-cycle statistical dispersion of the AE signal is considered to highlight highly variable engine processes. Engine speed was held constant but load conditions are varied to investigate AE signal sensitivity to operating condition. Furthermore, during the course of testing the fuel injector developed a fault and acoustic emission signals were captured and several signal attributes were successful in distinguishing this altered condition. The sampling and use of instantaneous rms acoustic emission signal demonstrated promise for non-intrusive and economical change detection of engine injection, combustion and valve events.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 93, 1 September 2017, Pages 397-414
نویسندگان
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