Fault Detection and Isolation in Industrial Processes Based On RNN

A. P. Siva Kumar

ISBN 10: 6203927759 / ISBN 13: 9786203927757

Published by LAP LAMBERT Academic Publishing Jul 2021, 2021

About this Item

Neuware -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. 64 pp. Englisch.

Seller Inventory # 9786203927757

Bibliographic Details

• Title: Fault Detection and Isolation in Industrial Processes Based On RNN
• Publisher: LAP LAMBERT Academic Publishing Jul 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 6203927759
• ISBN 13: 9786203927757
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 113 grams

About this title

Synopsis

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.