Anomaly Detection for Autonomous Transfer Vehicles in Smart Factories

Ornek O., Vatan S., Sarioglu S., YAZICI A.

6th International Conference on Control Engineering and Information Technology (CEIT), İstanbul, Türkiye, 25 - 27 Ekim 2018 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/ceit.2018.8751935
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

Autonomous robots are critical components of factories of futures. In this era, autonomous transfer vehicles are expected to play important role for flexible manufacturing. But the system should detect abnormal events itself. In this study, anomaly detection approach is proposed for autonomous transfer vehicles in the smart factories. Decision trees are used to detect stopping and slow down anomalies in internal transportation of the factories. The proposed approach is tested in simulation environment.