Fault diagnosis method of petrochemical air compressor based on deep belief network

doi:10.11949/j.issn.0438-1157.20181357

	Fault diagnosis method of petrochemical air compressor based on deep belief network
	Lu, Chunyan 1,2,3; Li, Wei 1,2,3
刊名	Huagong Xuebao/CIESC Journal
	2019
卷号	70 期号:2 页码:757-763
关键词	Compressors Convergence of numerical methods Data handling Failure analysis Fault detection Multilayer neural networks Network layers Petrochemicals
ISSN号	04381157
DOI	10.11949/j.issn.0438-1157.20181357
英文摘要	According to the complexity of fault mechanism, the lack of prior knowledge, and the low diagnosis precision of traditional shallow layer neural network for the fault diagnosis of petrochemical air compressor, a kind of petrochemical air compressor fault diagnosis method is put forward based on the deep belief network because of its advantage in feature extraction and nonlinear data processing. By using state monitoring data of the air compressor, the method realizes the unsupervised characteristics learning and supervised fine-tuning of training network, constructs the deep network model of the air compressor fault, thus achieving the effective intelligent diagnosis for fault types of the air compressor. The effectiveness of the method is compared with the traditional fault diagnosis method. The results show that the diagnostic accuracy of the method is better than the traditional fault diagnosis method and the stability is better. © All Right Reserved.
语种	中文
出版者	Chemical Industry Press
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/151219]
专题	电气工程与信息工程学院
作者单位	1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; Gansu; 730050, China; 2.National Experimental Teaching Center of Electrical and Control Engineering, Lanzhou University of Technology, Lanzhou; Gansu; 730050, China 3.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou; Gansu; 730050, China;
推荐引用方式 GB/T 7714	Lu, Chunyan,Li, Wei. Fault diagnosis method of petrochemical air compressor based on deep belief network[J]. Huagong Xuebao/CIESC Journal,2019,70(2):757-763.
APA	Lu, Chunyan,&Li, Wei.(2019).Fault diagnosis method of petrochemical air compressor based on deep belief network.Huagong Xuebao/CIESC Journal,70(2),757-763.
MLA	Lu, Chunyan,et al."Fault diagnosis method of petrochemical air compressor based on deep belief network".Huagong Xuebao/CIESC Journal 70.2(2019):757-763.