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Preload monitoring of single nut ball screws based on sensor fusion

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ELSEVIER
DOI: 10.1016/j.cirpj.2021.02.006

关键词

Ball screw; Condition monitoring; Preload monitoring; Principal component analysis; Signal fusion; Multivariate feature analysis

资金

  1. Industrial Collective Research (Industrielle GemeinschaftsforschungIGF) program
  2. Federal Ministry for Economic Affairs and Energy (Bundesministerium fur Wirtschaft und EnergieBMWi), Germany [19882 N]

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This study investigates the capability of sensor fusion based on principal component analysis to monitor preload loss of single nut ball screws, by studying features of different preload levels of the ball screw through selecting different ball diameters. The results show that this method can reliably detect preload levels.
Unplanned machine downtimes lead to higher costs through reduced productivity. Machine availability is amongst others limited by the failure of wear-induced preload loss of ball screws. Therefore, attempts are made to monitor the preload. The high complexity and required robustness of preload monitoring leads to a low spreading in industry so far. This paper investigates the capability of sensor fusion based on principal component analysis to monitor preload loss of single nut ball screws. Features are investigated using different preload levels of the ball screw by selecting different ball-diameters. It is shown that this approach reliably detects the preload levels. (C) 2021 CIRP.

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