基于函数主元分析的多阶段退化过程建模与预测

Translated title of the contribution: Multi-phase degradation process modeling and prediction based on functional principal component analysis

Bin Zhang, Lijun Zhang, Jiufei Luo, Yi Zhang, Pingfeng Wang

Research output: Contribution to journalArticlepeer-review

Abstract

As the foundation of equipment health management, the degradation process modeling and prediction is an effective way to reduce running risk and maintenance cost. In order to solve the randomness, nonlinearity and multi-phase complexity of the degradation process in practice, an adaptive modeling and prediction method for multi-phase degradation process based on functional principal component analysis is proposed. This method treats the degradation measurement values as discrete sample values of continuous function, and thus converts the degradation modeling problem into functional data analysis problem. On this basis, this method uses the function principal component analysis method to reduce the dimensionality of the degraded data, and extracts the common information and individual difference information of the equipment degradation. With Bayesian reasoning, the on-line monitoring data is used to update the degradation model parameters to realize on-line real-time prediction of equipment health status. Finally, the proposed method is applied to the accelerated life test data of a cooling fan, and the effectiveness of the method is verified. The results show that the proposed method can well model the multi-phase complex random degradation process and thus has potential engineering application value.

Translated title of the contributionMulti-phase degradation process modeling and prediction based on functional principal component analysis
Original languageChinese
Pages (from-to)30-38
Number of pages9
JournalYi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
Volume40
Issue number7
DOIs
StatePublished - Jul 1 2019

Keywords

  • Cooling fan
  • Functional principal component analysis
  • Modeling and prediction
  • Multi-phase degradation

ASJC Scopus subject areas

  • Instrumentation

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