Reliability Assessment of the Lift Powertrain in a Lift-Plus-Cruise eVTOL: A Solution Method for GSPN.

Saved in:

Bibliographic Details
Title:	Reliability Assessment of the Lift Powertrain in a Lift-Plus-Cruise eVTOL: A Solution Method for GSPN.
Authors:	Liu, Chaohui¹ luyi1@sjtu.edu.cn, Lu, Yi^1,2, Wang, Yixuan¹, Zhang, Yu³
Source:	International Journal of Performability Engineering. May2026, Vol. 22 Issue 5, p237-244. 8p.
Subjects:	Fault trees (Reliability engineering), Discrete event simulation, Monte Carlo method, Reliability in engineering, Electric propulsion, Airplanes, Propulsion systems
Abstract:	The lift-plus-cruise electric vertical takeoff and landing (eVTOL) aircraft represents a major eVTOL configuration. However, the reliability of its lift powertrain has attracted increasing research attention because of its complex redundant architecture and dynamic failure behaviors. This paper proposes a reliability assessment framework for the lift powertrain of a lift-plus-cruise eVTOL in which a dynamic fault tree (DFT) model is mapped onto a generalized stochastic Petri net (GSPN) model, and a discrete event simulation (DES)-based GSPN quantitative analysis algorithm is developed. Based on this framework, the reliability of the lift powertrain is evaluated, and the effectiveness of the proposed algorithm is validated through comparison with results from a Monte Carlo simulation (MCS)-based DFT. The simulation results indicate that the high-voltage battery is the most critical component affecting system reliability. Reducing its failure rate leads to substantially greater improvement in system reliability compared to improving other components, providing quantitative guidance for lift powertrain architecture optimization. [ABSTRACT FROM AUTHOR]
	Copyright of International Journal of Performability Engineering is the property of Totem Publisher, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Engineering Source

Description
Abstract:	The lift-plus-cruise electric vertical takeoff and landing (eVTOL) aircraft represents a major eVTOL configuration. However, the reliability of its lift powertrain has attracted increasing research attention because of its complex redundant architecture and dynamic failure behaviors. This paper proposes a reliability assessment framework for the lift powertrain of a lift-plus-cruise eVTOL in which a dynamic fault tree (DFT) model is mapped onto a generalized stochastic Petri net (GSPN) model, and a discrete event simulation (DES)-based GSPN quantitative analysis algorithm is developed. Based on this framework, the reliability of the lift powertrain is evaluated, and the effectiveness of the proposed algorithm is validated through comparison with results from a Monte Carlo simulation (MCS)-based DFT. The simulation results indicate that the high-voltage battery is the most critical component affecting system reliability. Reducing its failure rate leads to substantially greater improvement in system reliability compared to improving other components, providing quantitative guidance for lift powertrain architecture optimization. [ABSTRACT FROM AUTHOR]
ISSN:	09731318
DOI:	10.23940/ijpe.26.05.p1.237244