Fault diagnosis of nonlinear systems using recurrent neural networks

Hadi Shahnazari

doi:10.1016/j.cherd.2019.09.026

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Fault diagnosis of nonlinear systems using recurrent neural networks

Hadi Shahnazari

Year: 2019 Journal: Process Safety and Environmental Protection Vol: 153 Pages: 233-245 Publisher: Elsevier BV

DOI: 10.1016/j.cherd.2019.09.026

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Keywords:

Recurrent neural network Residual Fault detection and isolation Actuator Computer science Nonlinear system Control theory (sociology) Fault (geology) Artificial neural network Inversion (geology) Control engineering Artificial intelligence Algorithm Engineering Control (management)

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Topics

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Mineral Processing and Grinding

Physical Sciences → Engineering → Mechanical Engineering

Fault diagnosis of nonlinear systems using recurrent neural networks

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Citation History

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