Automatic baseline-sample-selection scheme for baseline predictive maintenance

Chun Fang Chen, Yao Sheng Hsieh, Fan Tien Cheng, Hsien Cheng Huang, Saint Chi Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A virtual-metrology-based (VM-based) baseline-predictive-maintenance (BPM) scheme was proposed by the authors recently. By applying the BPM scheme, fault diagnosis and prognosis can be accomplished and the requirement of massive historical failure data can also be released. The accuracy of the BPM scheme highly depends on the correctness of the baseline models in the BPM scheme. The samples of creating the target-device (TD) baseline model consist of the concise and healthy (C&H) historical samples and the fresh samples just after maintenance. Originally, each one of the C&H samples was checked manually to ensure that the sample was generated under healthy status and its data quality is good. However, this health-&-quality check process is so tedious and may also neglect deleting contradictory samples, which may deteriorate the BPM results and prohibit the usage of the BPM scheme. The purpose of this paper is to develop an automatic baseline-sample-selection (ABSS) scheme for selecting the C&H samples and deleting the contradictory samples automatically.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
Pages183-188
Number of pages6
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 - Madison, WI, United States
Duration: 2013 Aug 172013 Aug 20

Publication series

NameIEEE International Conference on Automation Science and Engineering
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Other

Other2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
CountryUnited States
CityMadison, WI
Period13-08-1713-08-20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Chen, C. F., Hsieh, Y. S., Cheng, F. T., Huang, H. C., & Wang, S. C. (2013). Automatic baseline-sample-selection scheme for baseline predictive maintenance. In 2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 (pp. 183-188). [6653934] (IEEE International Conference on Automation Science and Engineering). https://doi.org/10.1109/CoASE.2013.6653934