Study on Detection and Fault Diagnosis System of Transmission of Coal Cutter Based on Improved BP Neural Network

To improve the fault diagnosis effect of transmission of coal cutter and ensure the smooth work of coal cutter, the detection and fault diagnosis system of transmission of coal cutter is designed and analyzed in this study. Based on the improved BP neural network and the internal Web remote fault di...

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Main Author:	Hongyan Zhou
Format:	Article
Language:	English
Published:	AIDIC Servizi S.r.l. 2018-12-01
Series:	Chemical Engineering Transactions
Online Access:	https://www.cetjournal.it/index.php/cet/article/view/9436

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spelling	doaj-a33aa8731d464590a8d61e41a244c4532021-02-16T21:12:32ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162018-12-017110.3303/CET1871153Study on Detection and Fault Diagnosis System of Transmission of Coal Cutter Based on Improved BP Neural NetworkHongyan ZhouTo improve the fault diagnosis effect of transmission of coal cutter and ensure the smooth work of coal cutter, the detection and fault diagnosis system of transmission of coal cutter is designed and analyzed in this study. Based on the improved BP neural network and the internal Web remote fault diagnosis technology, this study designs and tests the detection and fault diagnosis system of transmission of coal cutter. It is found that the accuracy of fault diagnosis is 100% by using sample input neural network, indicating that the detection and fault diagnosis system of transmission of coal cutter designed by the improved BP neural network algorithm has high accuracy and practicability.https://www.cetjournal.it/index.php/cet/article/view/9436
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Hongyan Zhou
spellingShingle	Hongyan Zhou Study on Detection and Fault Diagnosis System of Transmission of Coal Cutter Based on Improved BP Neural Network Chemical Engineering Transactions
author_facet	Hongyan Zhou
author_sort	Hongyan Zhou
title	Study on Detection and Fault Diagnosis System of Transmission of Coal Cutter Based on Improved BP Neural Network
title_short	Study on Detection and Fault Diagnosis System of Transmission of Coal Cutter Based on Improved BP Neural Network
title_full	Study on Detection and Fault Diagnosis System of Transmission of Coal Cutter Based on Improved BP Neural Network
title_fullStr	Study on Detection and Fault Diagnosis System of Transmission of Coal Cutter Based on Improved BP Neural Network
title_full_unstemmed	Study on Detection and Fault Diagnosis System of Transmission of Coal Cutter Based on Improved BP Neural Network
title_sort	study on detection and fault diagnosis system of transmission of coal cutter based on improved bp neural network
publisher	AIDIC Servizi S.r.l.
series	Chemical Engineering Transactions
issn	2283-9216
publishDate	2018-12-01
description	To improve the fault diagnosis effect of transmission of coal cutter and ensure the smooth work of coal cutter, the detection and fault diagnosis system of transmission of coal cutter is designed and analyzed in this study. Based on the improved BP neural network and the internal Web remote fault diagnosis technology, this study designs and tests the detection and fault diagnosis system of transmission of coal cutter. It is found that the accuracy of fault diagnosis is 100% by using sample input neural network, indicating that the detection and fault diagnosis system of transmission of coal cutter designed by the improved BP neural network algorithm has high accuracy and practicability.
url	https://www.cetjournal.it/index.php/cet/article/view/9436
work_keys_str_mv	AT hongyanzhou studyondetectionandfaultdiagnosissystemoftransmissionofcoalcutterbasedonimprovedbpneuralnetwork
_version_	1724266275459301376

Study on Detection and Fault Diagnosis System of Transmission of Coal Cutter Based on Improved BP Neural Network

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