کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4977217 1451849 2017 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improving hydraulic excavator performance through in line hydraulic oil contamination monitoring
ترجمه فارسی عنوان
بهبود عملکرد هیدرولیک از طریق نظارت بر آلودگی روغن هیدرولیک
کلمات کلیدی
آلودگی روغن هیدرولیک، سنسورهای ذرات، تجهیزات ساخت و ساز، تشخیص، پیش آگهی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


- Hydraulic oil contamination is the key for construction equipment diagnostic.
- Iron and Copper are the key indicators on hydraulic components wear rate.
- Standard filter and oil change does not reduce hydraulic components wear rate.
- Inline particle sensors on the market are not designed for mobile applications.

It is common for original equipment manufacturers (OEMs) of high value products to provide maintenance or service packages to customers to ensure their products are maintained at peak efficiency throughout their life. To quickly and efficiently plan for maintenance requirements, OEMs require accurate information about the use and wear of their products. In recent decades, the aerospace industry in particular has become expert in using real time data for the purpose of product monitoring and maintenance scheduling. Significant quantities of real time usage data from product monitoring are commonly generated and transmitted back to the OEMs, where diagnostic and prognostic analysis will be carried out. More recently, other industries such as construction and automotive, are also starting to develop capabilities in these areas and condition based maintenance (CBM) is increasing in popularity as a means of satisfying customers' demands. CBM requires constant monitoring of real time product data by the OEMs, however the biggest challenge for these industries, in particular construction, is the lack of accurate and real time understanding of how their products are being used possibly because of the complex supply chains which exist in construction projects. This research focuses on current dynamic data acquisition techniques for mobile hydraulic systems, in this case the use of a mobile inline particle contamination sensor; the aim was to assess suitability to achieve both diagnostic and prognostic requirements of Condition Based Maintenance. It concludes that hydraulic oil contamination analysis, namely detection of metallic particulates, offers a reliable way to measure real time wear of hydraulic components.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 83, 15 January 2017, Pages 176-193
نویسندگان
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