Condition monitoring based on modified CUSUM and EWMA control charts

Suzana Paula Gomes Fernando Da Silva Lampreia, José António Mendonça Dias, Valter Martins Vairinhos, Patrícia Isabel Soares Barbosa, José Fernando Gomes Requeijo

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Purpose - The application of condition-based maintenance on selected equipment can allow online monitoring using fixed, half-fixed or portable sensors. The collected data not always allow a straightforward interpretation and many false alarms can happen. The paper aims to discuss these issues. Design/methodology/approach - Statistical techniques can be used to perform early failure detection. With the application of Cumulative Sum (CUSUM) Modified Charts and the Exponentially Weighted Moving Average (EWMA) Charts, special causes of variation can be detected online and during the equipment functioning. Before applying these methods, it is important to check data for independence. When the independence condition is not verified, data should be modeled with an ARIMA (p, d, q) model. Parameters estimation is obtained using the Shewhart Traditional Charts. Findings - With data monitoring and statistical methods, it is possible to detect any system or equipment failure trend, so that we can act at the right time to avoid catastrophic failures. Originality/value - In this work, an electro pump condition is monitored. Through this process, an anomaly and four stages of aggravation are forced, and the CUSUM and EWMA modified control charts are applied to test an online equipment monitoring. When the detection occurs, the methodology will have rules to define the degree of intervention.

Original languageEnglish
Pages (from-to)119-132
Number of pages14
JournalJournal of Quality in Maintenance Engineering
Volume24
Issue number1
DOIs
Publication statusPublished - 1 Jan 2018

Keywords

  • ARIMA model
  • Condition-based maintenance
  • CUSUM chart
  • EWMA chart
  • Shewhart control chart

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