Paper
4 January 1995 Detecting rolling element bearing defects with the optical incremental motion encoder
Kayode A. Ayandokun, P. A. Orton, Nasser Sherkat, Peter D. Thomas
Author Affiliations +
Proceedings Volume 2349, Industrial Optical Sensors for Metrology and Inspection; (1995) https://doi.org/10.1117/12.198698
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
Abstract
This paper described the experimental use of a new type of optical sensor to detect rolling element bearing defects for the purpose of condition monitoring. The incremental motion encoder (IME) is a patented development of the industrially proven technology of the optical shaft encoder. It combines the measurement of angular position with that of 2D shaft center position to submicron accuracy. The operational principle of the IME is explained. Its high resolution measurements allow shaft motion directly related to the condition of the supporting bearing to be sensed. This presents potential advantages over current bearing condition monitoring sensors which monitor transmitted vibration in the machine structure. A model explaining the effect of a bearing condition monitoring sensors which monitor transmitted vibration in the machine structure. A model explaining the effect of a bearing inner race defect on the IME signal is presented. Based on this model the statistical parameter kurtosis is proposed as a method of detecting such defects from the IME signal. The results of experiments comparing the IME signal from a new undamaged roller bearing with the signal from the same bearing with an induced defect are presented. These confirm the application of the model to defect detection.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kayode A. Ayandokun, P. A. Orton, Nasser Sherkat, and Peter D. Thomas "Detecting rolling element bearing defects with the optical incremental motion encoder", Proc. SPIE 2349, Industrial Optical Sensors for Metrology and Inspection, (4 January 1995); https://doi.org/10.1117/12.198698
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Cited by 3 scholarly publications.
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KEYWORDS
Sensors

Computer programming

Head

Motion models

Optical components

Motion measurement

Defect detection

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