Deep convolutional neural network model based chemical process fault diagnosis

2018/04/11 by Hao Wu, Jinsong Zhao · 501 citations
Engineering · #Advanced Data Processing Techniques #Artificial intelligence #Artificial neural network #Benchmark (surveying) #Chemical process #Computer science #Convolutional neural network #Deep learning #Dropout (neural networks) #Engineering #Fault (geology) #Fault Detection and Control Systems #Fault detection and isolation #Machine learning #Mineral Processing and Grinding #Operations management #Pooling #Process (computing) #Process safety #Reliability engineering #Work in process

paper · doi:10.1016/j.compchemeng.2018.04.009

published in Computers & Chemical Engineering 115, 185-197 (Elsevier BV)

openalex publication_date 2018/04/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

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