Adresa za dopisivanje Prof. Renata Cimões, Post-Graduation of Dentistry, Avenida Professor Moraes Rego 1235, Cidade Universitária Recife, Pernambuco, Brazil, 50670-901 Telefon: +55 81 21268817 [email protected] Sažetak Svrha rada: Parodontopatije i reumatoidni artritis (RA) slični su u osnovnim patološkim procesima. Kronična upala i disfunkcija sustava imunosti glavna su obilježja obiju b...

In the recent years, deep learning has been widely used in process monitoring due to its strong ability extract features. However, with increasing layers of network, compression features by model will lead loss some valuable information and affect model’s performance. To solve this problem, a fault detection method based on discriminant enhanced stacked auto-encoder is proposed. An network stru...

The k-nearest neighbor (kNN) method only uses samples’ paired distance to perform fault detection. It can overcome the nonlinearity, multimodality, and non-Gaussianity of process data. However, nearest neighbors found by kNN on a data set containing lot outliers or noises may not be actual trustworthy but kind pseudo neighbor, which will degrade monitoring performance. This paper presents new d...

A hierarchical structure based on a Deep LSTM Supervised Autoencoder Neural Network (Deep LSTM-SAE NN) is presented for the detection and classification of faults in industrial plants. The proposed methodology has ability to classify incipient that are difficult detect diagnose with traditional many recent methods. Faults grouped into different subsets according degree difficulty them accuratel...

The need of designing decentralized control loops emerges to ensure the global stability of a given process plant. To that purpose, the authors have proposed in recent works a systematic approach to derive robust decentralized controllers, which is based on the link between thermodynamics and passivity theory as well as on the fundamentals of process networks. This Thermodynamic-Based Control (...