Predictive maintenance of pumps in civil infrastructure: State-of-the-art, challenges and future directions

Seyed Mostafa Hallaji, Yihai Fang, Brandon K. Winfrey

Research output: Contribution to journalReview ArticleResearchpeer-review

25 Citations (Scopus)

Abstract

Predictive maintenance (PdM) is a technique that employs data-driven analysis to detect anomalous working conditions and predict future failure risks of assets. Despite wide applications in the manufacturing and oil and gas industries, the application of PdM in infrastructure facilities, such as wastewater treatment plants, is scarce. Recent advent of information and communication technologies and artificial intelligence presents a great opportunity to enhance the practice in infrastructure maintenance by integrating PdM techniques. This study aims to investigate the potentials and challenges of integrating emerging technologies in the PdM of pumps. A quantitative review of the literature was conducted to identify primary research themes and knowledge domains. A qualitative review was conducted to assess their potentials for realizing PdM in pump maintenance. Findings from this research are expected to point out key technical and practical challenges and future research directions.

Original languageEnglish
Article number104049
Number of pages14
JournalAutomation in Construction
Volume134
DOIs
Publication statusPublished - Feb 2022

Keywords

  • Building information modelling
  • Digital twin
  • Machine learning
  • Predictive maintenance
  • Pump

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