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Published on: May 27, 2020
Online Friction Measurement and Wear-Life Determination for Textile Needle Hooks Based on Closed-Loop Tension Control
Yongkang Chen1,2, Yang Zeng1,2, Wang Xu1,2
1Hubei Key Laboratory of Digital Textile Equipment, Wuhan Textile University, Wuhan 430200, China.
Sensors (Basel, Switzerland)
|May 27, 2026
Summary
This study introduces an online method for monitoring textile needle hook wear and assessing lifespan using yarn tension sensing and control. The system reliably estimates wear evolution and predicts needle replacement timing for looms.
Area of Science:
- Textile Engineering
- Mechanical Engineering
- Materials Science
Background:
- Textile needle hooks are critical components in looms, susceptible to wear that impacts fabric quality and machine uptime.
- Current methods for assessing needle wear are often offline, subjective, and lack real-time feedback.
- Predictive maintenance for needle hooks is essential for optimizing loom operation and preventing unexpected failures.
Purpose of the Study:
- To develop and validate an online method for real-time wear monitoring and lifetime assessment of textile needle hooks.
- To establish a reliable index for wear evolution based on yarn tension dynamics.
- To enable data-driven, timely replacement of needle hooks in industrial looms.
Main Methods:
- Real-time measurement of yarn tensions on both sides of the yarn-needle wrap interface.
- Estimation of an equivalent friction coefficient as a wear monitoring index using the capstan model.
- Implementation of closed-loop average-tension control to stabilize operating conditions.
- Application of a robust signal-processing pipeline including gating, clipping, filtering, and outlier rejection.
- Wear-life determination using a baseline-referenced criterion combining a relative threshold and persistence time.
Main Results:
- The proposed method provides stable yarn-tension measurements and reliable friction coefficient estimation.
- Clear discrimination among different needle hook wear states was achieved.
- Wear-life assessments demonstrated consistency with offline microscopy observations.
- The method proved computationally lightweight and suitable for practical online implementation.
Conclusions:
- The developed online wear monitoring and lifetime assessment method is effective for textile needle hooks.
- The system enables accurate prediction of needle hook wear and facilitates data-driven maintenance scheduling.
- This approach enhances loom efficiency and reduces operational costs through optimized needle replacement timing.
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