Conditional monitoring of industrial processes with deep neural networks

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Conditional monitoring of industrial processes with deep neural networks

Glen, Chosua - Personal Name; Schwung, Andreas - Personal Name; Rusyadi, Rusman - Personal Name;

In this paper a condition monitoring an in industrial processes is made with deep learning algorithm, with data served from IEEE PHM Challenge of the bearings

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B02955 (Rack Thesis) Available

Detail Information

Series Title: -
Call Number: 2955
Publisher: : Swiss German University., 2019
Collation: -
Language: English
ISBN/ISSN: -
Classification: NONE
Content Type: -
Media Type: -
Carrier Type: -
Edition: -
Subject(s): MT
TensorFlow
Deep Learning
Keras
Python
Regression
Attention
Process Monitoring
Sequential
Many To Many
Data Reconstruction
Long-Short Term Memory
Absolute Prediction Error
Gated Recurrent Unit
Encoder Decoder Neural Network
Bearing Remaining Useful Life
Prognostics
Data Driven Methodology
Specific Detail Info: -
Statement of Responsibility: -

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