Prognostics and Health Management Based on Next-Generation Technologies: A Literature Review

Author:

Fang Zhou1ORCID,Li Wei1,Su Liang2,Feng Jinkui3

Affiliation:

1. College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China

2. Beijing Institute of Spacecraft System Engineering, Beijing 100094, China

3. China Special Equipment Inspection and Research Institute, Beijing 100029, China

Abstract

With the rapid development of science and technology, the integration and complexity of aerospace vehicles, weaponry, and large-scale chemical equipment are becoming higher and higher. PHM plays an important role in realizing reductions in equipment loss due to failures in many fields. In order to systematically sort through the research history of PHM and deeply analyze the development status of AR and DT technologies in the field of PHM, to clarify the current technical challenges and future development directions and to provide valuable references and insights for researchers, engineers, and decision-makers in the related fields, this paper summarizes the development of PHM in the engineering field. This paper summarizes the development of PHM in the field of engineering, from the initial PHM used in aerospace to the current PHM systems supported by various advanced technologies; analyzes the advantages and shortcomings of the digital twin and augmented reality technologies used for PHM; and organizes and summarizes the future directions and future research focuses of PHM research based on the existing technologies (mainly digital twins and augmented reality). After systematic research and study, we found that the integration of augmented reality and digital twin technologies will provide superb simulation capabilities and immersive operation and bring new challenges and opportunities. Therefore, it is also imperative to address the challenges and limitations that hinder the seamless integration of the new technologies.

Funder

Elevator Typical Failure and Accident Prevention and Control Multi-dimensional Twinning Co-Intelligence Technology and Application Demonstration

Centralized University Talent Projects

Science and Technology Program of the State Administration for Market Regulation

Publisher

MDPI AG

Reference46 articles.

1. Nickerson, B., and Lally, R. (2001, January 10–17). Development of a smart wireless networkable sensor for aircraft engine health management. Proceedings of the 2001 IEEE Aerospace Conference Proceedings, Big Sky, MT, USA.

2. Page, M.J., McKenzie, J.E., Bossuyt, P.M., Boutron, I., Hoffmann, T.C., Mulrow, C.D., Shamseer, L., Tetzlaff, J.M., Aki, E.A., and Brennan, S.E. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. PLoS Med., 18.

3. Zhang, G., and Vachtsevanos, G. (2007, January 3–10). A Methodology for Optimum Sensor Localization/Selection in Fault Diagnosis. Proceedings of the 2007 IEEE Aerospace Conference, Big Sky, MT, USA.

4. Zhi, H. (2010). Research on Failure Prediction and Health Management Technology for Unmanned Aerial Vehicles. [Master’s Thesis, Beijing University of Chemical Technology].

5. Miniature MEMS-based data recorder for prognostics and health management (PHM);Vohnout;IEEE Instrum. Meas. Mag.,2011

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