Civil aircraft health management technology serves as an effective means to ensure aviation safety and enhance operation and maintenance efficiency. The implementation of health management technology is inseparable from efficient and advanced fault diagnosis technology. Based on the development needs of fault diagnosis technology for typical system health management of civil aircraft

this paper systematically reviews the fault diagnosis technology methods for civil aircraft health management

conducts in-depth analysis from three dimensions: Model-driven

knowledge-driven

and data-driven

summarizes the advantages

disadvantages

and applicable scenarios of each dimension’s technology methods

provides an application framework for the integration of technologies from each dimension

and looks forward to the overall development trend of civil aircraft health management

offering theoretical references and optimization paths for the engineering application of domestic civil aircraft health management technology.