کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
743625 1461739 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Object shape-based optical sensing methodology and system for condition monitoring of contaminated engine lubricants
ترجمه فارسی عنوان
روش سنجش حساسیت نوری مبتنی بر شکل شیء و سیستم نظارت بر شرایط روانکاری موتور آلوده
کلمات کلیدی
موتور خودرو، روان کننده آلوده، وضعیت، اندازه گیری، تجزیه و تحلیل نوری، نظارت بر
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی برق و الکترونیک
چکیده انگلیسی


• Object shape-based optical sensing.
• lubricant-object optical appearance.
• lubricant condition.

Presence of contaminants, such as gasoline, moisture, and coolant in the engine lubricant indicates mechanical failure within the engine and significantly reduces lubricant quality. This paper describes a novel sensing system, its methodology and experimental verifications for analysis of the presence of contaminants in the engine lubricants. The sensing methodology is based on the statistical shape analysis methodology utilizing optical analysis of the distortion effect when an object image is obtained through a thin random optical medium. The novelty of the proposed sensing system lies within the employed methodology which an object with a known periodic shape is introduced behind a thin film of the contaminated lubricant. In this case, an acquired image represents a combined lubricant–object optical appearance, where an a priori known periodical structure of the object is distorted by a contaminated lubricant. The object, e.g. a stainless steel woven wire cloth with a mesh size of 65×65 µm2 and a circular wire diameter of 33 µm was placed behind a microfluidic channel, containing engine lubricant and optical images of flowing lubricant with stationary object were acquired and analyzed. Several parameters of acquired optical images, such as, color of lubricant and object, object shape width at object and lubricant levels, object relative color, and object width non-uniformity coefficient, were proposed. Measured on-line parameters were used for optical analysis of fresh and contaminated lubricants. Estimation of contaminant presence and lubricant condition was performed by comparison of parameters for fresh and contaminated lubricants. Developed methodology was verified experimentally showing ability to distinguish lubricants with 1%, 4%, 7%, and 10% coolant, gasoline and water contamination individually and in a combination form of coolant (0%–5%) and gasoline (0%–5%).

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optics and Lasers in Engineering - Volume 54, March 2014, Pages 128–138
نویسندگان
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