Shi Huxiao, Geng Jie, Demichela Micaela
Applied Science and Technology Department, Politecnico di Torino, Turin, Italy.
China Research Institute of Regulation and Public Policy, Zhejiang University of Finance & Economics, Hangzhou, China.
Heliyon. 2024 Dec 6;10(24):e40920. doi: 10.1016/j.heliyon.2024.e40920. eCollection 2024 Dec 30.
In recent years, Prognostics and Health Management (PHM) have been considered in broad industrial areas to improve the effectiveness of maintenance activities. In chemical engineering domains, PHM is regarded to have big potential for reliability and safety management of complex systems. In this study, a bibliometric analysis has been conducted to explore the evolution of PHM by retrieving 2351 publications from the Web of Science Core Collection (Retrieve date: 12/05/2023). Science mapping techniques are applied to visualize the results. This study helps to reveal research hotspots and development trends of PHM, with a particular focus on chemical engineering. As for the results, PHM has become a multidisciplinary topic. Its research in chemical engineering domains has gained increasing attention in recent years. By integrating advanced models like neural networks and digital twins, PHM can complement traditional approaches, offering real-time insights that improve operational strategies. In the future, PHM progress will focus on multidisciplinary applications with stronger collaboration between academia and industry, with more potential to address practical challenges.
近年来，预测与健康管理（PHM）已在广泛的工业领域中得到考虑，以提高维护活动的有效性。在化学工程领域，PHM被认为在复杂系统的可靠性和安全管理方面具有巨大潜力。在本研究中，通过从科学网核心合集（检索日期：2023年5月12日）检索2351篇出版物，进行了文献计量分析，以探索PHM的发展历程。应用科学映射技术将结果可视化。本研究有助于揭示PHM的研究热点和发展趋势，尤其关注化学工程领域。至于结果，PHM已成为一个多学科主题。近年来，其在化学工程领域的研究越来越受到关注。通过整合神经网络和数字孪生等先进模型，PHM可以补充传统方法，提供实时见解以改进运营策略。未来，PHM的进展将集中在多学科应用上，学术界和工业界之间的合作将更加紧密，有更多潜力应对实际挑战。
