Quantum Computing Assisted Deep Learning for Fault Detection and Diagnosis in Industrial Process Systems

@article{Ajagekar2020QuantumCA,
  title={Quantum Computing Assisted Deep Learning for Fault Detection and Diagnosis in Industrial Process Systems},
  author={Akshay Ajagekar and F. You},
  journal={Comput. Chem. Eng.},
  year={2020},
  volume={143},
  pages={107119}
}
  • Akshay Ajagekar, F. You
  • Published 2020
  • Computer Science, Physics, Engineering, Mathematics
  • Comput. Chem. Eng.
Abstract Quantum computing (QC) and deep learning techniques have attracted widespread attention in the recent years. This paper proposes QC-based deep learning methods for fault diagnosis that exploit their unique capabilities to overcome the computational challenges faced by conventional data-driven approaches performed on classical computers. Deep belief networks are integrated into the proposed fault diagnosis model and are used to extract features at different levels for normal and faulty… Expand
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