Human Machine Interface for monitoring a winding machine


  • Anis Mhalla Laboratory of Automation, Electrical Systems Environment (LAESE) National Engineering School of Monastir (ENIM), Monastir, Tunisia


Monitoring, Wires quality, HMI, Winding machine, Human Machine Interface


The monitoring function that we are developing is part of an overall monitoring process. It aims, on the basis of the information available on its operating modes, to detect, locate and diagnose failures that may affect its performance and operational safety. The purpose of this paper is to carry out a method for monitoring an automated system based on a Human Machine Interface (HMI). The purpose of monitoring task is the detection and the rapid localization of faults in order to minimize the average system downtime. Finally, we illustrate the implementation of the proposed supervision approach on a winding machine in order to monitor the bobbins quality.


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M’halla, A., "A Monitoring Approach Based on Fuzzy Stochastic P-Timed Petri Nets of a Railway Transport Network," Journal of Advanced Transportation (JAT), vol. 2021, Article ID 5595065, 18 pages, April 2021.

Bissoli, A., Lavino-Junior, D., Sime, M., Encarnação, L., & Bastos-Filho, T. (2019). A human–machine interface based on eye tracking for controlling and monitoring a smart home using the internet of things. Sensors, 19(4), 859.

Wu, P., Xiao, A., Zhao, Y., Chen, F., Ke, M., Zhang, Q., ... & Chen, Y. (2019). An implantable and versatile piezoresistive sensor for the monitoring of human–machine interface interactions and the dynamical process of nerve repair. Nanoscale, 11(44), 21103-21118.

Franciosi, C., Di Pasquale, V., Iannone, R., & Miranda, S. (2019). A taxonomy of performance shaping factors for human reliability analysis in industrial maintenance. Journal of Industrial Engineering and Management, 12(1), 115-132.

Shi, Q., Zhang, Z., Chen, T., & Lee, C. (2019). Minimalist and multi-functional human machine interface (HMI) using a flexible wearable triboelectric patch. Nano Energy, 62, 355-366.

De Visser, E. J., Pak, R., & Shaw, T. H. (2018). From ‘automation’to ‘autonomy’: the importance of trust repair in human–machine interaction. Ergonomics, 61(10), 1409-1427.

Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda. International Journal of Information Management, 48, 63-71.

article IJEAP : Human Machine Interface for monitoring a winding machine



How to Cite

A. Mhalla, “Human Machine Interface for monitoring a winding machine ”, International Journal of Engineering and Applied Physics, vol. 2, no. 2, pp. 427–434, May 2022.