Published in: 14th International Industrial Engineering Conference
COI code: IIEC14_035
Paper Language: English
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Authors Condition monitoring and prediction of erosion and destruction of trucks using clustering techniquesMostafa Yousoﬁ Tezerjan - Faculty member of university of science and technology karaj, Iran
Saeed Ramezani - Faculty member oflmam hosseyn university tehran, Iran
Abstract:Oil analysis experiments are one of the tools for detecting and prognosis defaults in mechanical systems that save economies and prevent breakdowns. The interpretation of oil analysis results is a specialized process and varies in some equipment and machinery. In this paper, the results of the analysis of motor oil of Benz trucks have been studied using the k-means clustering technique. Based on clustering results, data is labeled and appropriate recommendations are provided to truck owners.One of the most effective methods for detecting abnormal erosion of equipment and mechanical systems is the use of oil analysis. This leads to high economic savings, since direct visits generally require demodulation and high costs, and even demounting itself will increase the damage. In this research, the erosion of truck motors has been studied with respect to viscosity, silicon, PQ and erosion parameters such as iron, aluminum, lead, copper, tin and chromium. The ﬁndings of the research indicate clusters of the status of different elements that can identify various defects.
Keywords:Oil Analysis, Failure Prediction, Clustering, Preventive Maintenance, Condition Monitoring;
COI code: IIEC14_035
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Yousoﬁ Tezerjan, Mostafa & Saeed Ramezani, 2017, Condition monitoring and prediction of erosion and destruction of trucks using clustering techniques, 14th International Industrial Engineering Conference, تهران, انجمن مهندسي صنايع ايران - دانشگاه علم و صنعت ايران, https://www.civilica.com/Paper-IIEC14-IIEC14_035.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Yousoﬁ Tezerjan, Mostafa & Saeed Ramezani, 2017)
Second and more: (Yousoﬁ Tezerjan & Ramezani, 2017)
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