A Review of PHM Data Competitions from 2008 to 2017 Methodologies and Analytics
Recently, the data driven approaches are winning popularity in Prognostics and Health Management (PHM) community due to its great scalability, reconfigurability and the reduced development cost. As the data-driven approaches flourished, the data competitions hosted by the PHM society over the last ten years contribute a valuable repository of public resources for benchmarks and improvements. To better define the directions for future development, this paper reviews the cutting-edge PHM methodologies and analytics based on the data competitions over the last decade. In this review, the goal of PHM and the major research tasks are stated and depicted, then the methodologies and analytics for the PHM practices are summarized in terms of failure detection, diagnosis, assessment and prediction, and the applications of PHM in various industrial sectors are highlighted as well. The data competitions in the last ten years are utilized as examples and case studies to support the ideas presented in this paper. Based on all the discussions and reviews, the current challenges and future opportunities are pointed out, and a conclusion remark is given at the end of the paper to summarize the current achievements and to foresee the future trends.
How to Cite
Prognostics & Health Mangement, PHM Data Challenge Competition
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
The Prognostic and Health Management Society advocates open-access to scientific data and uses a Creative Commons license for publishing and distributing any papers. A Creative Commons license does not relinquish the author’s copyright; rather it allows them to share some of their rights with any member of the public under certain conditions whilst enjoying full legal protection. By submitting an article to the International Conference of the Prognostics and Health Management Society, the authors agree to be bound by the associated terms and conditions including the following:
As the author, you retain the copyright to your Work. By submitting your Work, you are granting anybody the right to copy, distribute and transmit your Work and to adapt your Work with proper attribution under the terms of the Creative Commons Attribution 3.0 United States license. You assign rights to the Prognostics and Health Management Society to publish and disseminate your Work through electronic and print media if it is accepted for publication. A license note citing the Creative Commons Attribution 3.0 United States License as shown below needs to be placed in the footnote on the first page of the article.
First Author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.