Dadfarnia, M.
, Sharp, M.
and Herrmann, J.
(2025),
Comprehensive evaluations of condition monitoring-based technologies in industrial maintenance: A systematic review, Journal of Manufacturing Systems, [online], https://doi.org/10.1016/j.jmsy.2025.06.015, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=959739
(Accessed July 11, 2025)
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Comprehensive evaluations of condition monitoring-based technologies in industrial maintenance: A systematic review
Published
Author(s)
, , Jeffrey Herrmann
Abstract
Condition monitoring involves detecting, diagnosing, or predicting faults or failures in industrial equipment. Given advances in the underlying artificial intelligence solutions and internet of things-based technologies, condition monitoring has the potential to improve industrial maintenance processes rapidly. Adopting condition monitoring-based technologies requires evaluating their engineering and financial benefits to determine whether the investment is justified. An increasing number of studies describe procedures to evaluate condition monitoring-based maintenance, but the literature lacks a review of these evaluation studies to identify research opportunities and best practices. This systematic review aims to report and analyze the evaluation methods for using condition monitoring-based technologies in industrial maintenance. This review identified 465 relevant peer-reviewed studies between 2001 and 2023, from which 42 articles met the eligibility criteria. For each article, this paper analyzed facets of the evaluation process related to the study's characterizations of the industrial application, condition monitoring, maintenance deployment, evaluation techniques, performance measures, and economic analysis. Collectively, these results yield several insights. Few condition monitoring evaluation studies exist for manufacturing systems, unlike the domains of energy systems and transportation modes. Also, many studies lack details about condition monitoring and maintenance models. Additionally, the evaluation techniques across most studies can improve with combinations of analytical frameworks, simulation, and expanded sensitivity analysis. Lastly, the reviewed studies are difficult to directly compare due to heterogeneity in economic analysis, performance measures, and uncertainty analysis — indicating an opportunity for future research to structure comprehensive reporting items to enhance the comparability of domain-specific condition monitoring-based maintenance evaluations. Based on the literature review and analyses, this review suggests specific recommendations for future condition monitoring evaluation and opportunities for further research.Citation
Journal of Manufacturing Systems
Volume
82
Pub Type
Journals
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Keywords
condition monitoring, condition-based maintenance, evaluation methods, prognostics and health management, systematic review
Citation
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Created July 9, 2025