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Optimization of Sensor Locations for Spindle Condition Monitoring

Published

Author(s)

Li Zhang, Robert Gao, Kang B. Lee

Abstract

This paper presents an approach to optimizing the location of vibration sensors on a spindle, based on the concept of Effective Independence (EfI).  The study is aimed at investigating the effect of sensor placement on spindle vibration measurement, and its significance on the effectiveness of identifying multiple defects within a spindle support bearing, for spindle health monitoring.  A large set of initial candidate locations were ranked based on the strength of the respective sensor signal output, as well as on the individual contribution to the linear independence of the measurement data.  Iteratively, sensor locations having the lowest EfI value are removed from the candidate set one after another, until a pre-determined number of locations is reached.  The effectiveness of such  a location selection approach was experimentally evaluated on a spindle test bed.  The result indicates that the EfI-selected sensor locations are effective indetecting the localized bearing defects.
Proceedings Title
Proceedings of North American Manufacturing Research (NAMRC) Conference
Volume
34
Conference Dates
May 23-26, 2006
Conference Location
Milwaukee, WI

Keywords

Effective Independence, Finite Element Modeling, Sensor Placement Optimization, Spindle Condition Monitoring

Citation

Zhang, L. , Gao, R. and Lee, K. (2006), Optimization of Sensor Locations for Spindle Condition Monitoring, Proceedings of North American Manufacturing Research (NAMRC) Conference, Milwaukee, WI (Accessed April 18, 2024)
Created May 1, 2006, Updated February 19, 2017