Deep diagnostics and prognostics: An integrated hierarchical learning framework in PHM applications

doi:10.1016/j.asoc.2018.01.036

	Deep diagnostics and prognostics: An integrated hierarchical learning framework in PHM applications
	Lin, Yanhui 1; Li, Xudong 2; Hu, Yang 3
刊名	APPLIED SOFT COMPUTING
	2018
卷号	72 页码:555-564
关键词	Feature learning Auto-encoder Extreme learning machines Prognostics and health management Motor bearing Turbofan engine
ISSN号	1568-4946
DOI	10.1016/j.asoc.2018.01.036
英文摘要	Prognostics and Health Management (PHM) is an integrated technique for improving the availability and efficiency of high-value industry equipment and reducing the maintenance cost. One of the most challenging problems in PHM is how to effectively process the raw monitoring signal into the information-rich features that are readable enough for PHM modeling. In this paper, we propose an integrated hierarchical learning framework, which is capable to perform the unsupervised feature learning, diagnostics and prognostics modeling together. The proposed method is based on Auto-Encoders (trained by considering the Li-norm penalty) and Extreme Learning Machines (trained by considering the L-2-norm penalty). The proposed method is applied on two different case studies considering the diagnostics of motor bearings and prognostics of turbofan engines, also the performances are compared with other commonly applied PHM approaches and machine learning tools. The obtained results demonstrate the superiority of the proposed method, especially the ability of extracting the relevant features from the non-informative and noisy signals and maintaining their efficiencies. (C) 2018 Elsevier B.V. All rights reserved.
语种	英语
内容类型	期刊论文
源URL	[http://ir.nssc.ac.cn/handle/122/6558]
专题	国家空间科学中心_空间技术部
作者单位	1.School of Reliability and Systems Engineering, Beihang University, Beijing, China; 2.National Space Science Center, Beijing, China; 3.Science and Technology on Complex Aviation System Simulation Laboratory, Beijing,9236, China
推荐引用方式 GB/T 7714	Lin, Yanhui,Li, Xudong,Hu, Yang. Deep diagnostics and prognostics: An integrated hierarchical learning framework in PHM applications[J]. APPLIED SOFT COMPUTING,2018,72:555-564.
APA	Lin, Yanhui,Li, Xudong,&Hu, Yang.(2018).Deep diagnostics and prognostics: An integrated hierarchical learning framework in PHM applications.APPLIED SOFT COMPUTING,72,555-564.
MLA	Lin, Yanhui,et al."Deep diagnostics and prognostics: An integrated hierarchical learning framework in PHM applications".APPLIED SOFT COMPUTING 72(2018):555-564.