Fault Detection and Isolation in Industrial Processes Based On RNN
Deep Learning Approach
(Sprache: Englisch)
Deep Learning is a subset collection of Machine Learning concerned where neural network algorithms inspired by human brain learn from large amount of data through several layers for nonlinear transformation, Deep learning domain techniques allows to extract...
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Deep Learning is a subset collection of Machine Learning concerned where neural network algorithms inspired by human brain learn from large amount of data through several layers for nonlinear transformation, Deep learning domain techniques allows to extract features automatically from the Industrial fault detection dataset. Since it has the strong learning ability that can improve the utilization of the dataset for the feature extraction. It determines Industrial Processes fault in the input data by simulating the way the human brain detects the fault in the industrial processes.
Autoren-Porträt von A. P. Siva Kumar, Chidananda K, N Pavan Kumar
Siva Kumar, A. P.Dr. A.P.Siva Kumar, Did his B.Tech from JNTUH, M.Tech from JNTUA, Ph.D from JNTUA in area of "Information Retrieval and Cross Lingual Intelligent Systems"in Year 2011. Recipient of Carrer Award for Young Teachers (CAYT) for the Financial Year 2013-14.
Bibliographische Angaben
- Autoren: A. P. Siva Kumar , Chidananda K , N Pavan Kumar
- 2021, 64 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6203927759
- ISBN-13: 9786203927757
Sprache:
Englisch
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