Real-time identification of yarn irregularities on the DTY machine through vibration monitoring (TURNITIN CHECK)

This paper presents an innovative real-time monitoring system for detecting yarn irregularities during the draw texturing process in the Drawn Textured Yarn (DTY) machine. The system uses
advanced sensors to continuously measure vibration signals, which are then analyzed for anomalies. The system incorporates advanced sensors, controllers, and embedded software to continuously monitor vibration signals generated during the process. Fast Fourier Transform (FFT) in LabVIEW converts these vibration signals into their frequency-domain representation. This
helps to identify anomalies that could indicate potential yarn irregularities. The results from the sensor data indicate that amplitude values serve as a reliable measure for detecting yarn
irregularities. For normal spindles, the amplitude ranges on the Z axis start from 10.9 to 12.2 m/s², while abnormal spindles show significantly higher values, between 31.9 to 44.3 m/s². This distinction facilitates real-time classification of yarn quality. The system's ability to identify these amplitude variations promptly can significantly reduce waste and enhance quality control. Future developments will focus on integrating an intelligent early warning system that alerts operators immediately upon detecting irregularities, enabling quicker interventions and minimizing downtime.