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Proceedings Paper

Incremental motion encoder: a sensor for the integrated condition monitoring of rolling element bearings in machine tools
Author(s): Kayode A. Ayandokun; P. A. Orton; Nasser Sherkat; Peter D. Thomas; Janet F. Poliakoff
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Paper Abstract

Modern industry increasingly demands that machine tools operate continuously as elements within computer integrated manufacturing cells. Accurate monitoring of machine condition is the key to predicting failures that would result in quality defects or costly unplanned production stoppages. This paper presents research into the use of a novel rotary motion sensor for the condition monitoring of rolling element bearings. This sensor, the incremental motion encoder (IME), is based upon a patented development of the optical encoder commonly used in machine tools for sensing angular position and rotational speed. The IME combines these measurements with that of shaft center position in two dimensions. This motion of the shaft center is directly related to the condition of the bearings supporting the shaft. To illustrate the IME principle experimental results showing the ability of the sensor to distinguish between bearing defects and external sources of vibration are presented. Measurement of shaft loading with the sensor is also described. Currently machine tool condition is most often measured by external sensors, such as accelerometers or acoustic emission transducers, which are not parts of the machine itself. The IME is ideally suited to being designed into a machine tool so as to integrate a condition monitoring facility into the computer control of the machine. The paper concludes by describing the current technology which allows sensors based on the IME principle to be integrated directly into rolling element bearings for this purpose.

Paper Details

Date Published: 22 December 1995
PDF: 10 pages
Proc. SPIE 2595, Machine Tool, In-Line, and Robot Sensors and Controls, (22 December 1995); doi: 10.1117/12.228857
Show Author Affiliations
Kayode A. Ayandokun, Nottingham Trent Univ. (United Kingdom)
P. A. Orton, Nottingham Trent Univ. (United Kingdom)
Nasser Sherkat, Nottingham Trent Univ. (United Kingdom)
Peter D. Thomas, Nottingham Trent Univ. (United Kingdom)
Janet F. Poliakoff, Nottingham Trent Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 2595:
Machine Tool, In-Line, and Robot Sensors and Controls
George D. Foret; Kam C. Lau; Bartholomew O. Nnaji, Editor(s)

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