Preview

The Journal of Almaty Technological University

Advanced search

Diagnostics of a sewing machine using a cyclogram and icrocameras

https://doi.org/10.48184/2304-568X-2026-3-233-240

Abstract

This research paper focuses on the diagnostics of a lockstitch shuttle sewing machine using the TYPICAL GC6150 as a case study. In modern garment manufacturing, sewing machines operate at high speeds, which requires precise phase synchronization of the main working mechanisms, including the needle, shuttle, thread take-up lever, and fabric feeding mechanism. Any disturbance in phase relationships may result in stitch skipping, thread breakage, unstable seam formation, and accelerated wear of machine components, ultimately reducing productivity and operational reliability. The study proposes a diagnostic method based on the combined use of micro-video monitoring and the construction of working cycle cyclograms. Micro-cameras enable visual observation of fast dynamic processes occurring in hard-to-reach areas of the sewing machine without complete disassembly. Video recordings are analyzed frame by frame to identify key diagnostic events and determine their time and phase parameters relative to the angular position of the main shaft. Experimental cyclograms derived from the video data make it possible to detect deviations from standard operating conditions at an early stage. The proposed approach improves diagnostic accuracy, reduces maintenance and adjustment time, enhances machine reliability, and ensures stable sewing quality in industrial production environments.

About the Authors

Zh. Usenbekov
Almaty Technological University
Kazakhstan

050012, Almaty, Tole bi street, 100



R. Myrzatai
Almaty Technological University
Kazakhstan

050012, Almaty, Tole bi street, 100



References

1. Zh. Usenbekov, N.Zh. Seitova Tigin Onerkasibinin tehnologiyalyq zhabdyqtary: oqu quraly [Technological Equipment of the Garment Industry: Study Guide]. Almaty: Daryn, 2023. 349 p. (in Kazakh).

2. A.S. Ermakov Oborudovanie shveinykh predpriyatii: uchebnoe posobie [Equipment of Sewing Enterprises: Study Guide]. Moscow: IRPO; ProfObrIzdat, 2002. 432 p. (in Russian).

3. J. Smith Machine Diagnostics and Monitoring. Cham: Springer, 2020.

4. T. Brown Mechatronic Systems Analysis. Oxford: Elsevier, 2019.

5. Y. Wang High-speed video diagnostics of machinery // IEEE Transactions on Industrial Electronics. 2021.

6. S. Kim Motion analysis of sewing machines // Journal of Textile Engineering. 2020.

7. J. Park Cyclogram-based diagnostics of mechanical systems // Mechatronics. 2019.

8. H. Muller Industrial Sewing Technology. Berlin: Springer, 2018.

9. K. Lee Smart maintenance systems for industrial equipment // Sensors. 2020.

10. L. Zhang Visual fault detection using highspeed cameras // Sensors. 2021.

11. V.P. Ivanov Tekhnicheskoe obsluzhivanie i remont shveinykh mashin [Maintenance and Repair of Sewing Machines]. Moscow, 2018. (in Russian).

12. N.A. Kuznetsova Diagnostika neispravnostei shveinogo oborudovaniya [Diagnostics of Sewing Equipment Faults]. Moscow, 2020. (in Russian).

13. JUKI Corporation. DDL-8700 Instruction Manual. Japan, n.d.

14. Typical Sewing Machine Co. GC6150 Technical Documentation. China, n.d.

15. J. Hu Structure and Mechanics of Woven Fabrics. Cambridge: Woodhead Publishing, 2004.

16. B. Saville Physical Testing of Textiles. Cambridge: Woodhead Publishing, 2008.

17. G. Havenith Personal factors in thermal comfort assessment // Energy and Buildings. 2002.


Review

For citations:


Usenbekov Zh., Myrzatai R. Diagnostics of a sewing machine using a cyclogram and icrocameras. The Journal of Almaty Technological University. 2026;153(3):233-240. (In Kazakh) https://doi.org/10.48184/2304-568X-2026-3-233-240

Views: 13

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2304-568X (Print)
ISSN 2710-0839 (Online)