Architecture for anomaly detection in a laser heating surface process

@article{Mesonero2017ArchitectureFA,
  title={Architecture for anomaly detection in a laser heating surface process},
  author={Javier Mesonero and Concha Bielza and Pedro Larra{\~n}aga},
  journal={2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)},
  year={2017},
  pages={1-4}
}
Anomaly detection is an increasingly common task in many industrial environments. Cyber-physical systems stand out in this field due to their unique position in industrial areas. This paper introduces a new architecture aimed to detect anomalies in a real laser heating surface process, which is designed for field-programmable gate arrays (FPGAs). The FPGA design offers advantages of highly parallelized and pipelined architectures. The system will classify one process into normal or abnormal… CONTINUE READING