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International Journal of Prognostics and Health Management - PHM Society | 2024 Cite Score:2.9 | Q2

International Journal of Prognostics and Health Management With Cite Score

Cite Score and Journal Rank of International Journal of Prognostics and Health Management

  • About: International Journal of Prognostics and Health Management (IJPHM) is a peer-reviewed journal dedicated to the field of prognostics and health management (PHM). The journal focuses on the development and application of techniques and methodologies for predicting and managing the health and performance of systems and components. Topics covered include predictive maintenance, fault diagnosis, reliability engineering, and system health management. IJPHM aims to advance the understanding and implementation of PHM strategies across various industries.
  • Objective:
    The primary objective of IJPHM is to publish high-quality research that contributes to the advancement of prognostics and health management technologies and practices. The journal seeks to address both theoretical and practical aspects of PHM, including new methods for predicting system failures, optimizing maintenance schedules, and improving system reliability and performance. IJPHM aims to support the development of innovative PHM solutions that enhance operational efficiency and reduce downtime across different sectors.
  • Interdisciplinary Approach:
    IJPHM adopts an interdisciplinary approach by integrating knowledge from fields such as reliability engineering, data analytics, machine learning, control systems, and operations research. This approach ensures a comprehensive exploration of PHM from multiple perspectives. The journal encourages research that combines insights from different disciplines to tackle complex PHM challenges and develop novel solutions.
  • Impact:
    The journal has a significant impact on the PHM community by providing a platform for the dissemination of advanced research and developments. IJPHM is cited by researchers, engineers, and industry professionals interested in the latest advancements in prognostics and health management. The research published in the journal contributes to the evolution of PHM practices and supports the implementation of effective maintenance and reliability strategies in various industries.
  • Significance:
    International Journal of Prognostics and Health Management plays a crucial role in advancing the field of PHM by offering a dedicated venue for innovative research and applications. Its focus on both theoretical and practical aspects of prognostics and health management makes it an essential resource for researchers, practitioners, and technologists working to enhance system reliability and performance. By facilitating the exchange of knowledge and ideas, IJPHM supports the continued progress and innovation in PHM technologies and methodologies.

  • Editor-in-Chief:  Marcos Orchard

  • Scope: The International Journal of Prognostics and Health Management focuses on research related to the prediction and management of system health, reliability, and performance. Its scope includes, but is not limited to:
  • Prognostics: Research on techniques and methodologies for predicting the future state of systems and components, including condition monitoring, failure prediction, and remaining useful life estimation.
  • Health Management: Contributions to managing the health of systems and components, including maintenance strategies, health monitoring, and decision-making for repair and replacement.
  • Reliability Engineering: Studies on the reliability of systems and components, including reliability modeling, analysis, and improvement. This includes techniques for assessing and enhancing system reliability.
  • Condition Monitoring: Research on methods and technologies for monitoring the condition of systems and components, including sensors, data acquisition, and diagnostic tools.
  • Maintenance Strategies: Contributions to the development and optimization of maintenance strategies, including predictive maintenance, preventive maintenance, and condition-based maintenance.
  • Failure Analysis: Research on the analysis of failures in systems and components, including root cause analysis, failure modes, and effects analysis (FMEA), and fault tree analysis.
  • Data Analytics for Health Management: Studies on the application of data analytics and machine learning techniques for health management, including data-driven approaches to predict and manage system health.
  • Prognostic Models: Research on developing and validating prognostic models, including statistical models, machine learning models, and hybrid models for predicting system health and performance.
  • Health Management Systems: Contributions to the design and implementation of health management systems, including software tools, decision support systems, and integrated health management platforms.
  • Reliability and Safety: Research on the intersection of reliability and safety, including safety-critical systems, risk assessment, and safety management.
  • Systems Engineering and Health Management: Studies on the application of systems engineering principles to health management, including system integration, lifecycle management, and optimization.
  • Industrial Applications: Research on the application of prognostics and health management in various industrial sectors, including aerospace, automotive, manufacturing, energy, and healthcare.
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  • Print ISSN:  21532648

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Computer Science, Computer Science (miscellaneous), Energy, Energy Engineering and Power Technology, Engineering, Civil and Structural Engineering, Mechanical Engineering, Safety, Risk, Reliability and Quality

  • Publication Frequency:  

  • H Index:  29

  • Best Quartile:

    Q1:  

    Q2:  Computer Science (miscellaneous)

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  • Cite Score:  2.9

  • SNIP:  0.557

  • Journal Rank(SJR):  0.408