The Application of deep learning for condition monitoring and fault diagnosis of industrial processes

7 1 10 The Application of deep learning for condition monitoring and fault diagnosis of industrial processes Rabbani, Arfyan Additional Author Schwung, Andreas Additional Author Rusyadi, Rusman Additional Author mixed material Swiss German University 2018 Production assessment system based on augmented reality and OPC-UA Situmorang, Yoshua Additional Author Schwung, Andreas Additional Author Ar Additional Author Rusyadi, Rusman Additional Author mixed material Swiss German University 2018 Research on tracking of parcels moving on peristaltic sortation machine via image processing Lolo, Surriady Additional Author Schwung, Andreas Additional Author Rusyadi, Rusman Additional Author mixed material Swiss German University 2019 Modeling the environment of a mobile robot using a time series convolutional neural networks Suryajaya, Shannon Additional Author Schwung, Andreas Additional Author Rusyadi, Rusman Additional Author mixed material Swiss German University 2019 Creating an interactive visual instruction procedure for plc in a hololens Sunaringtyas, Dimitri Nathanael Additional Author Schwung, Andreas Additional Author Rusyadi, Rusman Additional Author mixed material Swiss German University 2019 Conditional monitoring of industrial processes with deep neural networks Glen, Chosua Additional Author Schwung, Andreas Additional Author Rusyadi, Rusman Additional Author mixed material Swiss German University 2019 Smart logistic using automated storing and retrieval system Iskandar, Albert Additional Author Schwung, Andreas Additional Author Rusyadi, Rusman Additional Author mixed material Swiss German University 2019