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Poster abstract: enabling a cloud-based logging service for ball screw with an autonomous networked sensor system

Published: 08 April 2013 Publication History

Abstract

Precision ball screw assembly (hereafter called "ball screw"), as shown in Fig. 1, is a mechanical wear out part that widely used in CNC (computer numerical control) machine tools to control the movement of processing targets and spindles. Up until now, there has been no simple way to directly measure ball screw for knowing the state of wear quantitatively. An indirect approach is logging all the signals (vibration, temperature, and preload change) during the operation of ball screw, and to use them to construct the wear model for estimating its remaining lifetime. To achieve this goal, we proposed a cloud-based logging system in this study that emphasizes (1) logging all the signals during operation in a ball screw's whole lifetime, and transferring to the data server without data loss; and (2) saving all the data into the cloud data storage of the ball screw's manufacturer. The data collected from many ball screws can be used to analyze and construct the wear model of ball screw, allowing the manufacturer to understand the state of wear and send a warning to the tool machine's owner before excessive wear.

References

[1]
Guo-Hua Feng; Yi-Lu Pan;, "Embedded temperature and vibration sensing system for monitoring ball screw preload," Control Conference (ASCC), 2011 8th Asian, vol., no., pp.171--174, 15--18 May 2011
[2]
Liqun Hou; Bergmann, N.W.;, "Novel Industrial Wireless Sensor Networks for Machine Condition Monitoring and Fault Diagnosis," Instrumentation and Measurement, IEEE Transactions on, vol.61, no.10, pp.2787--2798, Oct. 2012

Cited By

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  • (2014)A Reliable Wireless Sensor System for Monitoring Mechanical Wear-Out of PartsIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2014.231249863:10(2488-2497)Online publication date: Oct-2014

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      cover image ACM Conferences
      IPSN '13: Proceedings of the 12th international conference on Information processing in sensor networks
      April 2013
      372 pages
      ISBN:9781450319591
      DOI:10.1145/2461381

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 08 April 2013

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      Author Tags

      1. ball screw
      2. factory
      3. wireless sensor

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      IPSN '13 Paper Acceptance Rate 24 of 115 submissions, 21%;
      Overall Acceptance Rate 143 of 593 submissions, 24%

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      • (2014)A Reliable Wireless Sensor System for Monitoring Mechanical Wear-Out of PartsIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2014.231249863:10(2488-2497)Online publication date: Oct-2014

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