文章基本信息

标题：Fault Diagnostics of Centrifuge Pump Using Data Analysis in Spectrometric Method
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作者：M. Esmaeilpour ; E. Nomigolzar ; M.R.F. Derakhshi 等
期刊名称：Informatica
印刷版ISSN：1514-8327
电子版ISSN：1854-3871
出版年度：2011
卷号：35
期号：2
出版社：The Slovene Society Informatika, Ljubljana
摘要：Vibrations analysis is one of the main surveying methods in maintenance and fault detection of machines in the industry. This method has unique advantages and disadvantages relating to surveying and fault detection of the machine. Objective of this research is to show the relationship between vibrations analysis and fault detection. The major problem of the vibration analysis is using the sensitive aural of the vibration sensors by human experts. On the other hand, human fault is time consuming which shows the position of the proposed method that by removing the human factor and increasing the speed and accuracy of the fault diagnosis course to increase the performance of the proposed method. Faults detection of the equipment is one of the most suitable ways of caring about the device when the equipment is on. Predictive repairing methods are new types of preventive repairs which use modern measurement and processing techniques for accurate fault finding and accessing technical conditions of the devices during exploitation and specification when maintenance and repairing operation are needed. In order to study the vibrations in pumps and to find its fault, different conditions of pump (sound and defective) were investigated. By putting sensors in a horizontal and vertical direction, the information was recorded and data vector activity was done for several times. Data gathering process was performed on the sample of centrifuge pump for its fault diagnostics through spectrometry. The results of analysis were able to distinguish between sound and defective data by studying on its acceleration range but there were analyzed and studied for ensuring data of different rounds which was selected randomly. This method is compared with Multilayer Perception Artificial Neural Network form terms of the processing time and accuracy that the result shows the superiority of the proposed method. Time data spectrum which had range 8000 N/mm and higher was sound and in interval between 1000 N/mm and 2000 N/mm, there was a need to repair and in interval 1000 N/mm and lower, it was defective.
关键词：vibration analysis; spectrometry; centrifuge pomp; kurtosis and fault diagnostics