基于小波分析和FFT的纱线质量在线检测与控制

介绍一种新的纱线质量在线检测与故障诊断系统 ,该系统集成了传感器技术、信号分析技术、网络通信技术、控制技术和专家的大量知识 .通过激光传感器对纱线直径实时采样并对采样信号进行小波分析和 FFT分析 ,提取故障特征并通过一套推理机制 ,进行故障分析与诊断 ,整个处理过程几乎实时完成 .该系统的应用有效地避免了离线检测所造成的大量纱线浪费以及人工分析的经验知识不足 .所得结果显示 ,该系统能准确地检测纱线质量和分析引起质量缺陷的原因 ,及时发现生产过程中出现的各种质量问题和产生的原因

The Yarn Quality Inspection and Control Based on Wavelet Analysis and FFT

A new kind of online yarn quality inspecting and fault diagnosis system was introduced. The new system integrates the technologies of sensor, signal process, communication, network, automation control and large amount of expert knowledge. Use laser sensor to sample the diameter signal of yarn, and do wavelet analysis and Fourier analysis of it to extract fault characteristics. A set of reasoning mechanism is established to analysis yarn quality and diagnosis the fault. The whole process is accomplished very fast. The application of new system saves lots of yarn and compensates for the lack of expert knowledge in manual quality analysis. The results show that new system can inspect yarn quality efficiently and analysis the fault reason accurately. It can be widely used in online yarn quality inspection and it is essential in controlling and updating yarn quality for the national cotton textile corporations.