Reliability of an electrical mill motor

Author

Pretorius, C.J. ; Pretorius, J.H.C.

Author_Institution

Dept. of Electr. & Electron. Eng. Sci., Univ. of Johannesburg, Johannesburg, South Africa

fYear

2009

fDate

23-25 Sept. 2009

Firstpage

1

Lastpage

6

Abstract

This paper describes the use of vibration analysis as the means of a predictive and preventive maintenance tool. From the data gathered by means of vibration analysis a mathematical model was developed using reliability engineering tools such as the Weibull distribution. From this it can be seen that by trending data that is periodically recorded an accurate indication of equipment failure can be established. The result of this study is an indicative tool for maintenance personnel during and after predictive and preventive maintenance.

Keywords

electric motors; fault location; milling; mining industry; preventive maintenance; vibrations; electrical mill motor reliability; failure identification; mining sector; predictive maintenance tool; preventive maintenance tool; vibration analysis; Africa; Condition monitoring; Costs; Gears; Milling machines; Personnel; Reliability engineering; Shafts; Signal analysis; Vibration measurement; Pearson´s Correlation Coefficient; Standard Deviation; Vibration Analysis; Weibull Distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

AFRICON, 2009. AFRICON '09.

Conference_Location

Nairobi

Print_ISBN

978-1-4244-3918-8

Electronic_ISBN

978-1-4244-3919-5

Type

conf

DOI

10.1109/AFRCON.2009.5308137

Filename

5308137