4.7 Article

Non-Invasive Force Measurement Based on Magneto-Elastic Effect for Steel Wire Ropes

Journal

IEEE SENSORS JOURNAL
Volume 21, Issue 7, Pages 8979-8987

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2021.3054416

Keywords

Force; Magnetostriction; Force measurement; Magnetic sensors; Magnetic hysteresis; Coils; Stress; Non-invasive force measurement; steel wire rope; magneto-elastic effect; maximal induction voltage

Funding

  1. National Key Research and Development Program of China [2018YFB1702401]
  2. National Natural Science Foundation of China [61833002]

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This study proposes an improved method for accurate force measurement on steel wire rope based on maximal induction voltage, which reduces the impact of noise and shows better performance. The new method outperforms the integration of induction voltage method in terms of linearity and sensitivity, as demonstrated in experimental results.
Force measurement on steel wire rope (SWR) is significant to ensure the safety of people and property. Previous methods propose the electro-magnetic sensor, which measures the force applied on the SWR non-invasively and does not damage the structure of the SWR. Based on the magneto-elastic effect and integration of induction voltage as the indicator, electro-magnetic sensors perform well in many situations. However, in practice, the integration of induction voltage method is noise-sensitive, because the noise is easily accumulated by integration in the practical environment. In this case, we propose an improved method based on a novel indicator, maximal induction voltage. The maximal induction voltage method is influenced less by noise, as no integration of noise term is involved, so the maximal induction voltage method has better performance on noise reduction. Moreover, the paper builds a force measurement system by deriving the analytical linear relation between force and maximal induction voltage, and this linear relation can be estimated by prior experimental data. The experimental results show that the proposed method has higher linearity and sensitivity than the integration of induction voltage method.

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