Predicting the remaining useful life of plasma equipment through XCSR

Liang Yu Chen, Jia Hua Lee, Ya Liang Yang, Ming Tsung Yeh, Tzu Chien Hsiao

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

1 Scopus citations

Abstract

Predicting remaining useful life (RUL) of plasma equipment becomes an important issue for semiconductor manufacturing in this decade. If RUL can be accurately estimated, the schedule of maintenance can be proper to moderate the waste and cost of the production. Digital Radio Frequency Matching Box (RF-MB) is an essential equipment in the semiconductor manufacturing process. The status of RF-MB will be recorded by the Fault Detection and Classification (FDC). In order to establish the RUL of RF-MB, we use Fisher Discriminant Analysis (FDA) for feature selection to concentrate the leading variables in FDC. We marked the first 2 days of the RF-MB operation as “Good” and marked the last 2 days before the failure of RF-MB as “Bad”. We used eXtended Classifier System with continuous-valued inputs (XCSR) to learn the well-labeled FDC data. The results show that XCSR can quickly find patterns and meaningful variables. The average accuracy of XCSR is 97.3% and the average missing rate of rules is only about 1.6%. The results confirmed that XCSR is capable of alerting related operator before the plasma component reaching its residual life. In the future, we will use XCS with Function approximation (XCSF) to more accurately approximate the function of RUL. We look forward to building a complete assessment of RUL.

Original languageEnglish
Title of host publicationGECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion
PublisherAssociation for Computing Machinery, Inc
Pages1263-1270
Number of pages8
ISBN (Electronic)9781450367486
DOIs
StatePublished - 13 Jul 2019
Event2019 Genetic and Evolutionary Computation Conference, GECCO 2019 - Prague, Czech Republic
Duration: 13 Jul 201917 Jul 2019

Publication series

NameGECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion

Conference

Conference2019 Genetic and Evolutionary Computation Conference, GECCO 2019
CountryCzech Republic
CityPrague
Period13/07/1917/07/19

Keywords

  • Digital Radio Frequency Matching Box (RF-MB)
  • EXtended Classifier System (XCS)
  • Fisher Discriminant Analysis (FDA)
  • Remaining Useful Life (RUL)

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