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دسته بندی:
مهندسی نرم افزار - software engineering
سال انتشار:
2020
عنوان انگلیسی مقاله:
Intelligent condition assessment of industry machinery using multiple type of signal from monitoring system
ترجمه فارسی عنوان مقاله:
ارزیابی شرایط هوشمند ماشین آلات صنعت با استفاده از چندین نوع سیگنال از سیستم نظارت
منبع:
Sciencedirect - Elsevier - Measurement, 149 (2020) 107018: doi:10:1016/j:measurement:2019:107018
نویسنده:
Aijun Hu, Zerui Bai, Jianfeng Lin, Ling Xiang ⇑
چکیده انگلیسی:
Real time condition assessment for machinery is used for avoiding catastrophic failures. A new strategy
which combined data processing with data-driven method is presented for condition assessment of
machinery based on multiple characteristic parameters of industrial equipment. Firstly, the data processing
is carried out, including the industrial data cleaning, the correlation analysis using the Bin method
and the condition division. The vibration parameters, which are sensitive to the state changes of the
machine, are assumed as data binning reference. Secondly, the multi-parameter condition evaluation
technique is proposed by using Hidden Markov Model. The industrial big data collected from monitoring
system are analyzed and the site test is conducted finally. The results show that the provided technique
can not only evaluate the running condition of the machinery, but also reflect the change of the operational
condition. It can exhibit a potential capability in tracing further deterioration of the machine
Keywords: Industrial machinery | Monitoring system | Condition assessment | Correlation analysis | Hidden Markov Model
قیمت: رایگان
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