Fault Detection and Isolation in Industrial Processes Based On RNN

Deep Learning Approach

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Beschreibung

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.

Artikeldetails

EAN

9786203927757

Sprache

Englisch

Einband / Art

Taschenbuch

Maße

220 x 150 x 5 mm

Erscheinungsjahr

2021

Verlag / Hersteller

LAP LAMBERT Academic Publishing