A Comparison Study of Data-Driven Projection to Latent Structures Modeling and Monitoring Methods on High-speed Train Operation

Qiang LIU, Qinqin ZHU, S. Joe QIN, Quan XU

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Referred Conference Paperpeer-review

5 Citations (Scopus)

Abstract

High-speed train operates in a multi-level style with nonlinearity which makes it difficult to build the overall operation model. Traditional model-based methods are thus difficult to model and monitor the high-speed train operation. In this paper, data driven modeling and monitoring of high-speed train operation are discussed. First, multi-level high-speed train operation and fault are described; Secondly, three popular latent structure modeling methods, i.e., concurrent projection to latent structures (CPLS), kernel partial least squares (KPLS), and concurrent kernel projection to latent structures (CKPLS), are briefly reviewed and applied to model the high-speed train operation and the corresponding monitoring methods are provided. Thirdly, a comparison study of the above three methods is achieved by the simulation using practical operation data. The results demonstrate that i) the nonlinear modeling and monitoring methods, i.e., KPLS and CKPLS, can reduce false alarms compared to linear monitoring method, i.e., CPLS; ii) the CKPLS based monitoring can enhance fault explanation compared to KPLS based monitoring.
Original languageEnglish
Title of host publicationProceedings of the 35th Chinese Control Conference
PublisherInstitute of Electrical and Electronics Engineers
Pages6734-6739
Number of pages6
ISBN (Electronic)9789881563910
ISBN (Print)9781509009107
DOIs
Publication statusPublished - Jul 2016
Externally publishedYes
Event35th Chinese Control Conference, CCC 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Publication series

NameChinese Control Conference, CCC
PublisherInstitute of Electrical and Electronics Engineers
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference35th Chinese Control Conference, CCC 2016
Country/TerritoryChina
CityChengdu
Period27/07/1629/07/16

Keywords

  • Complete Monitoring
  • Data Modeling
  • High-Speed Train
  • Projection to Latent Structures

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