Fault diagnostics of centrifuge pump using data analysis in spectrometric method

Mansour Esmaeilpour, Elnaz Nomigolzar, Mohamad Reza Feyzi Derakhshi, Zarina Shukur

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)259-268
Number of pages10
JournalInformatica (Ljubljana)
Volume35
Issue number2
Publication statusPublished - 2011

Fingerprint

Centrifuges
Fault detection
Pump
Data analysis
Diagnostics
Vibration analysis
Fault
Pumps
Fault Detection
Acoustic waves
Surveying
Vibration Analysis
Repair
Sensors
Processing
Human engineering
Maintenance
Spectrometry
Failure analysis
Vibration

Keywords

  • Centrifuge pomp
  • Kurtosis and fault diagnostics
  • Spectrometry
  • Vibration analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Artificial Intelligence
  • Theoretical Computer Science

Cite this

Esmaeilpour, M., Nomigolzar, E., Derakhshi, M. R. F., & Shukur, Z. (2011). Fault diagnostics of centrifuge pump using data analysis in spectrometric method. Informatica (Ljubljana), 35(2), 259-268.

Fault diagnostics of centrifuge pump using data analysis in spectrometric method. / Esmaeilpour, Mansour; Nomigolzar, Elnaz; Derakhshi, Mohamad Reza Feyzi; Shukur, Zarina.

In: Informatica (Ljubljana), Vol. 35, No. 2, 2011, p. 259-268.

Research output: Contribution to journalArticle

Esmaeilpour, M, Nomigolzar, E, Derakhshi, MRF & Shukur, Z 2011, 'Fault diagnostics of centrifuge pump using data analysis in spectrometric method', Informatica (Ljubljana), vol. 35, no. 2, pp. 259-268.
Esmaeilpour, Mansour ; Nomigolzar, Elnaz ; Derakhshi, Mohamad Reza Feyzi ; Shukur, Zarina. / Fault diagnostics of centrifuge pump using data analysis in spectrometric method. In: Informatica (Ljubljana). 2011 ; Vol. 35, No. 2. pp. 259-268.
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