کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
565419 1451859 2016 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fault detection in reciprocating compressor valves under varying load conditions
ترجمه فارسی عنوان
تشخیص گسل در دریچه های کمپرسور مجاور تحت شرایط بار مختلف
کلمات کلیدی
تشخیص گسل، دریچه های کمپرسور، شرایط بار متفاوت. تجزیه و تحلیل فرکانس زمان، استخراج ویژگی، مهندسی ویژگی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


• Load changes and valve faults show different patterns in the spectrogram.
• Autocorrelation of the spectrogram difference emphasizes these patterns.
• Distinctive features can be extracted from autocorrelation representation.
• Classification works well for arbitrary load levels of the compressor.

This paper presents a novel approach for detecting cracked or broken reciprocating compressor valves under varying load conditions. The main idea is that the time frequency representation of vibration measurement data will show typical patterns depending on the fault state. The problem is to detect these patterns reliably. For the detection task, we make a detour via the two dimensional autocorrelation. The autocorrelation emphasizes the patterns and reduces noise effects. This makes it easier to define appropriate features. After feature extraction, classification is done using logistic regression and support vector machines. The method׳s performance is validated by analyzing real world measurement data. The results will show a very high detection accuracy while keeping the false alarm rates at a very low level for different compressor loads, thus achieving a load-independent method. The proposed approach is, to our best knowledge, the first automated method for reciprocating compressor valve fault detection that can handle varying load conditions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volumes 70–71, March 2016, Pages 104–119
نویسندگان
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