Generated by GPT-5-mini| International Journal of Prognostics and Health Management | |
|---|---|
| Title | International Journal of Prognostics and Health Management |
| Discipline | Prognostics and Health Management, Reliability Engineering |
| Abbreviation | IJPHM |
| Publisher | Society for the Advancement of Prognostics and Health Management |
| Country | United States |
| History | 2010–present |
| Frequency | Quarterly |
| Openaccess | Hybrid |
International Journal of Prognostics and Health Management is a peer-reviewed periodical covering reliability engineering topics such as prognostics, diagnostics, and condition-based maintenance. The journal publishes research that intersects applied Aerospace Industries Association, National Aeronautics and Space Administration, European Space Agency, United States Air Force, and industrial partners including General Electric, Rolls-Royce Holdings, Boeing, and Airbus. Articles often cite methodologies from groups like MIT, Stanford University, Carnegie Mellon University, Georgia Institute of Technology, and standards bodies such as International Organization for Standardization.
The title was established amid rising interest in predictive maintenance driven by programs at DARPA, NASA Ames Research Center, US Navy, US Army Research Laboratory, and collaborations with laboratories at Sandia National Laboratories and Los Alamos National Laboratory. Early editorial leadership included researchers affiliated with University of Cincinnati, University of Maryland, College Park, Pennsylvania State University, and industry consortia tied to Honeywell International Inc. and Siemens AG. The journal matured alongside conferences like Annual Conference of the Prognostics and Health Management Society, workshops linked to IEEE, ASME, and symposia held at Northeastern University and University of Illinois Urbana-Champaign.
The journal focuses on prognostics methods used in contexts such as Lockheed Martin platforms, Raytheon Technologies systems, United States Navy vessels, and industrial plants operated by ExxonMobil and Shell plc. It aims to bridge academia and industry including contributors from Oxford University, University of Cambridge, Imperial College London, ETH Zurich, Delft University of Technology, Tsinghua University, and Peking University. Topics include data-driven approaches developed at Google DeepMind, model-based techniques influenced by research at Princeton University, and hybrid methods with collaborations involving National Institute of Standards and Technology and Fraunhofer Society.
Editorial governance typically comprises an editor-in-chief drawn from institutions like University of California, Berkeley, University of Michigan, or McGill University, supported by associate editors representing Imperial College London, University of Tokyo, Seoul National University, Monash University, and University of Sydney. The peer-review process follows practices advocated by Committee on Publication Ethics, aligning with review standards used by IEEE Transactions on Reliability and ASME Journal of Mechanical Design. Reviewers often include researchers from Columbia University, University of Texas at Austin, University of Pennsylvania, Cornell University, and industry experts from Toyota Motor Corporation, Ford Motor Company, and Samsung Electronics.
The journal is indexed in databases and services comparable to Scopus, Web of Science, EI Compendex, and subject indexes used by ProQuest and EBSCO Information Services. Citation tracking and metrics are monitored alongside titles such as Nature, Science, IEEE Transactions on Industrial Electronics, and Reliability Engineering & System Safety. Institutional repositories at Harvard University, Yale University, University of Oxford, and University of Cambridge often catalogue selected works for community access and archiving.
Notable articles include studies on remaining useful life estimation cited by researchers at NASA Glenn Research Center, European Organisation for the Exploitation of Meteorological Satellites, and military research labs like Defence Science and Technology Group (Australia). Influential papers have informed industry practices at ABB, Schneider Electric, Caterpillar Inc., and Siemens Energy, and have been referenced in standards discussions at Institute of Electrical and Electronics Engineers and International Electrotechnical Commission. Cross-disciplinary impact is visible in citations from Harvard Medical School, Johns Hopkins University, and biopharmaceutical firms such as Pfizer and Roche where prognostics concepts have been adapted for medical device reliability.
The journal publishes on a hybrid open-access model similar to policies at Elsevier, Springer Nature, Wiley-Blackwell, and Taylor & Francis Group, offering authors options for open access under funding models used by Wellcome Trust and European Research Council. Article processing charges and subscription arrangements mirror those negotiated by university libraries such as Library of Congress, British Library, National Diet Library (Japan), and consortia including CERN and INRIA for broader dissemination.
Category:Engineering journals