Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research on Systematic Dynamic Risk Assessment Method and Application of FMEA for Civil Aircraft Oriented to PHM

WANG Huan1, WANG Da'ao2, FANG Zhigeng3

(1.Ginling College, Nanjing Normal University, Nanjing 210097, China; 2.School of Management Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; 3.College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

Section：Information Application · Vol. 2026, Issue 9 · Pages：137-144,151 · 2096-4706（2026）09-0137-09 · CLC number：TP391；C931 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.09.025

Abstract

With the development of the civil aviation industry, aircraft systems have become increasingly complex, highlighting the issue of lagging risk assessment in traditional static Failure Mode and Effects Analysis (FMEA) within Prognostics and Health Management (PHM). To address this, this research focuses on the PHM requirements of civil aircraft, analyzes the shortcomings of traditional FMEA in fault modeling and dynamic monitoring, expands its functional modules, and constructs a dynamic risk assessment framework and model. This enables real-time updating and evaluation of severity, occurrence, detectability, and the Risk Priority Number (RPN). Using the variable-frequency AC electric pump in an aircraft hydraulic system as a validation case, the results demonstrate that this method can assess risk indicators in real time and with high accuracy. It provides a new approach to overcoming the limitations of traditional static FMEA and contributes to improving aircraft predictive maintenance and operational support capabilities.

Keywords

civil aircraft; PHM; FMEA; dynamic risk assessment

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About the authors

Wang Huan (July 1990-), female, Han ethnicity, from Longjiang, Heilongjiang Province, associate professor, doctoral student, research direction: complex equipment development management, quality and reliability; Wang Da'ao (1988.11-), male, Han nationality, from Binhai, Jiangsu, associate professor, doctoral student, research direction: operations research optimization, quality and reliability; Fang Zhigeng (1962.08-), male, Han nationality, from Chizhou, Anhui, professor, doctoral student, research direction: quality and reliability.