scholarly journals Joint Special Issue on PHM for Aerospace Systems

Author(s):  
Chetan S Kulkarni ◽  
Kai Goebel

Prognostics and health management (PHM) is becoming one of the most popular topics for research and development in the aviation industry. The reasons for this are varied, but one of the main ones is that PHM affords the operator with a way to reduce lifecycle operating costs without necessarily adding expensive accessories that might need to be certified. Many of the papers in this special issue discuss PHM techniques that are based on post flight, or off-board, data processing that adds benefits without additional regulatory constraints. On the other hand, regulators themselves are keenly looking at changing regulations to allow more PHM equipment on board and to allow suppliers and operators to gain maintenance credits from their use. All in all, it is a exciting time to be a engineering working on these topics in the aviation sector. While progress is being made in developing better sensors, models, and analytical methods, the field of aviation itself is changing rapidly. It is seeking to become more sustainable by increasing propulsion efficiencies, it has many players looking to develop and commercialize electrical systems, and it is fast undertaking a digital transformation of the entire ecosystem. In response, system developers and researchers in the field are working on a number of key technologies and methodologies to solve some of the issues that these changes have wrought. This special issue on PHM for Aerospace Systems provides a forum to discuss recent advances pertaining to papers that address topics in this field with an emphasis on Prognostics and Health Management. These topics include advances in anomaly detection and diagnostics, uncertainty management for prognostics, resilient design for fault-tolerant operations, systematic evaluation of PHM for maintenance processes, assessment of retrofit solutions for particular aircraft systems, PHM informed decision-making for safe operations of autonomous aerial systems, impact of noise on prognostic performance, and lessons learned from trends in aircraft fatigue failure accidents for Structural Health Monitoring. We hope that this special joint issue of the International Journal of PHM and SAE International Journal of Aerospace will increase the awareness about innovations in the development of PHM technologies in aerospace and believe that this inspires researchers to focus more attention on this important topic. We would like to express our sincere thanks to all the reviewers of this issue who have generously contributed their valuable time and effort to ensure that it lives up to the Journal’s high quality.

2017 ◽  
Vol 29 (2_suppl) ◽  
pp. 74S-89S ◽  
Author(s):  
Michio Murakami ◽  
Akiko Sato ◽  
Shiro Matsui ◽  
Aya Goto ◽  
Atsushi Kumagai ◽  
...  

The Fukushima nuclear accident in March 2011 posed major threats to public health. In response, medical professionals have tried to communicate the risks to residents. To investigate forms of risk communication and to share lessons learned, we reviewed medical professionals’ activities in Fukushima Prefecture from the prefectural level to the individual level: public communication through Fukushima Health Management Surveys, a Yorozu (“general”) health consultation project, communications of radiological conditions and health promotion in Iitate and Kawauchi villages, dialogues based on whole-body counter, and science communications through online media. The activities generally started with radiation risks, mainly through group-based discussions, but gradually shifted to face-to-face communications to address comprehensive health risks to individuals and well-being. The activities were intended to support residents’ decisions and to promote public health in a participatory manner. This article highlights the need for a systematic evaluation of ongoing risk communication practices, and a wider application of successful approaches for Fukushima recovery and for better preparedness for future disasters.


Author(s):  
Kevin R. Wheeler ◽  
Tolga Kurtoglu ◽  
Scott D. Poll

One of the most prominent technical challenges to effective deployment of health management systems is the vast difference in user objectives with respect to engineering development. In this paper, a detailed survey on the objectives of different users of health management systems is presented. These user objectives are then mapped to the metrics typically encountered in the development and testing of two main systems health management functions: diagnosis and prognosis. Using this mapping, the gaps between user goals and the metrics associated with diagnostics and prognostics are identified and presented with a collection of lessons learned from previous studies that include both industrial and military aerospace applications.


Author(s):  
Brian Weiss ◽  
Michael Brundage

Personnel from the National Institute of Standards and Technology (NIST) organized and led a Measurement and Evaluation for Prognostics and Health Management for Manufacturing Operations (ME4PHM) workshop at the 2019 Annual Conference of the Prognostics and Health Management Society held on September 23rd, 2019 in Scottsdale, Arizona. This event featured panel presentations and discussions from industry, government, and academic participants who are focused in advancing monitoring, diagnostic, and prognostic (collectively known as prognostic and health management (PHM)) capabilities within manufacturing operations. The participants represented a diverse cross-section of technology developers, integrators, end-users/manufacturers (from small to large), and researchers. These contributors discussed 1) what works well, 2) common challenges that need to be addressed, 3) where the community’s priorities should be focused, and 4) how PHM technological adoption can be sped in a cost-effective manner. This report summarizes the workshop and offers lessons learned regarding the current state of PHM. Based upon the discussions, recommended next steps to advance this technological domain are also presented.


2019 ◽  
Vol 19 (1) ◽  
pp. 68-84 ◽  
Author(s):  
Hyun Su Sim ◽  
Jun-Gyu Kang ◽  
Yong Soo Kim

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