Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review

Mohammadreza Tahan, Elias Tsoutsanis, Masdi Muhammad*, Z. A. Abdul Karim

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

153 Citations (Scopus)
1420 Downloads (Pure)


With the privatization and intense competition that characterize the volatile energy sector, the gas turbine industry currently faces new challenges of increasing operational flexibility, reducing operating costs, improving reliability and availability while mitigating the environmental impact. In this complex, changing sector, the gas turbine community could address a set of these challenges by further development of high fidelity, more accurate and computationally efficient engine health assessment, diagnostic and prognostic systems. Recent studies have shown that engine gas-path performance monitoring still remains the cornerstone for making informed decisions in operation and maintenance of gas turbines. This paper offers a systematic review of recently developed engine performance monitoring, diagnostic and prognostic techniques. The inception of performance monitoring and its evolution over time, techniques used to establish a high-quality dataset using engine model performance adaptation, and effects of computationally intelligent techniques on promoting the implementation of engine fault diagnosis are reviewed. Moreover, recent developments in prognostics techniques designed to enhance the maintenance decision-making scheme and main causes of gas turbine performance deterioration are discussed to facilitate the fault identification module. The article aims to organize, evaluate and identify patterns and trends in the literature as well as recognize research gaps and recommend new research areas in the field of gas turbine performance-based monitoring. The presented insightful concepts provide experts, students or novice researchers and decision-makers working in the area of gas turbine engines with the state of the art for performance-based condition monitoring.

Original languageEnglish
Pages (from-to)122-144
Number of pages23
JournalApplied Energy
Early online date28 Apr 2017
Publication statusPublished - 15 Jul 2017


  • Diagnostics
  • Gas turbine
  • Gas-path faults
  • Health assessment
  • Monitoring
  • Prognostics

ASJC Scopus subject areas

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law


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