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How does Prognostics and Health Management (PHM) develop in the engineering domain: A bibliometric analysis with

Huxiao Shi¹, Jie Geng², Micaela Demichela¹

¹Applied Science and Technology Department, Politecnico di Torino, Turin, Italy.

|January 6, 2025

Summary

Prognostics and Health Management (PHM) is crucial for industrial reliability and safety. This study maps PHM research trends, highlighting its multidisciplinary growth and integration with advanced models in chemical engineering.

Keywords:

Asset management Bibliometric analysis Chemical engineering Comparison analysis Critical review Prognostics and Health Management Science mapping

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Area of Science:

Engineering
Computer Science
Materials Science

Background:

Prognostics and Health Management (PHM) is increasingly vital for enhancing industrial maintenance effectiveness.
In chemical engineering, PHM offers significant potential for managing the reliability and safety of complex systems.

Purpose of the Study:

To conduct a bibliometric analysis of Prognostics and Health Management (PHM) research.
To explore the evolution, research hotspots, and development trends of PHM, with a specific focus on its application in chemical engineering.

Main Methods:

Bibliometric analysis of 2351 publications retrieved from the Web of Science Core Collection.
Application of science mapping techniques for visualization of research trends and interconnections.

Main Results:

PHM has emerged as a multidisciplinary research area with growing attention in chemical engineering.
Integration of advanced models such as neural networks and digital twins enhances traditional PHM approaches.
PHM provides real-time insights for improved operational strategies and system reliability.

Conclusions:

PHM research is expanding across disciplines, showing notable recent growth in chemical engineering applications.
Future PHM development will emphasize multidisciplinary integration and robust academia-industry collaboration.
PHM holds significant potential for addressing practical challenges in industrial settings, improving safety and operational efficiency.