CREATION OF A SYSTEM FOR PREDICTING FAULTS IN SEWING EQUIPMENT BASED ON MACHINE LEARNING
Keywords:
Keywords. Sewing machine, sewing equipment, sewing, industry.Abstract
Annotation. In the process of development of modern industry, ensuring the
uninterrupted operation of production systems, increasing the reliability of equipment
and reducing maintenance costs is becoming increasingly important. Especially in the
light industry, in particular in the garment industry, since each element of the
production line is closely interconnected, the failure of one piece of equipment can stop
the entire production process. Therefore, the enrichment of technical service systems
with innovative approaches is an urgent issue.
References
REFERENCES
1. Liu, X., et al. (2017). "Predictive Maintenance of Industrial Equipment Using
Machine Learning: A Case Study of Manufacturing." Journal of Manufacturing
Science and Engineering.
2. Jia, F., et al. (2019). "Machine learning for predictive maintenance: A systematic
review and perspective." Computers & Industrial Engineering. 3. Vaidyanathan, V., et al. (2021). "Anomaly detection in industrial systems for
predictive maintenance using machine learning techniques." Proceedings of the
IEEE International Conference on Industrial Technology.
4. Zhao, X., et al. (2020). "Deep Learning-Based Prognostics for Predictive
Maintenance in Manufacturing." IEEE Transactions on Industrial Informatics.
5. Iyer, S., & Tan, C. Y. (2020). "Data-Driven Predictive Maintenance: A Review and
Case Study." International Journal of Advanced Manufacturing Technology.
6. Zheng, J., et al. (2022). "Application of Machine Learning for Predictive
Maintenance in Textile Industry." Procedia CIRP.
7. Salah, A., & Karray, F. (2019). "Predictive maintenance of industrial machines
using machine learning algorithms." Journal of Industrial Information Integration.
