Acoustic-Based UAV Detection Using Late Fusion of Deep Neural Networks

Article Automation & Control Systems

Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring

Miguel Martinez-Garcia et al.

Summary: This article develops a methodology for measuring the degree of unpredictability in dynamical systems with memory by approximating the probability distribution of system outputs using deep recurrent neural networks. The model can evaluate system reliability, predict system faults, and is applicable to the field of gas turbine engines.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

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Article Automation & Control Systems

Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images

Haidong Shao et al.

Summary: A new framework for fault diagnosis of rotor-bearing system under varying working conditions is proposed using modified CNN and transfer learning. Infrared thermal images are collected to characterize the health condition, and modified CNN is developed with stochastic pooling and Leaky ReLU. The proposed method outperforms other cutting edge methods in fault diagnosis of rotor-bearing system by adapting to limited available training data in different working conditions.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

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Article Engineering, Electrical & Electronic