Generic Engine Health Monitoring / Control System

The prognostics and health management system of next generation turbofan aero-engine is researched for better adapting military mission needs. The system canonical structure is designed on the basis of GE company open structure. Additionally, the gas path PHM architecture is especially analyzed, and the key technologies in the system are introduced. It gets the technology ways for the realization of the system development. And the work can provide support for the development of the PHM system from the top course structure view.

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“…1 shows the certain turbofan aero-engine prognostic and health management system structure reference to the GE Global. [1][2][3][4]…”

Section: Design Of Aero-engine Prognostics and Health Management Systemmentioning

confidence: 99%

Design of Prognostics and Health Management System for Turbofan Engine

Song

Sun

et al. 2014

AMM

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“…A generic hardware and software system for the creation and fielding of low cost, integrated engine health monitoring, and control systems is presented by Brotherton et al [30]. A detailed survey on the use of analytical redundancy to improve turbine engine control system reliability is discussed by Merrill [31], and it was shown through simulation that sensor redundancy will be required to achieve adequate control system reliability.…”

Section: Goals Initiate Built In Test and Input And Output Collectionmentioning

confidence: 99%

Role of information and communication in redefining unmanned aerial vehicle autonomous control levels

Suresh

Ghose

2010

Proceedings of the Institution of Mechanical Engineers, Part G:

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Autonomous mission control, unlike automatic mission control which is generally pre-programmed to execute an intended mission, is guided by the philosophy of carrying out a complete mission on its own through online sensing, information processing, and control reconfiguration. A crucial cornerstone of this philosophy is the capability of intelligence and of information sharing between unmanned aerial vehicles (UAVs) or with a central controller through secured communication links. Though several mission control algorithms, for single and multiple UAVs, have been discussed in the literature, they lack a clear definition of the various autonomous mission control levels. In the conventional system, the ground pilot issues the flight and mission control command to a UAV through a command data link and the UAV transmits intelligence information, back to the ground pilot through a communication link. Thus, the success of the mission depends entirely on the information flow through a secured communication link between ground pilot and the UAV. In the past, mission success depended on the continuous interaction of ground pilot with a single UAV, while present day applications are attempting to define mission success through efficient interaction of ground pilot with multiple UAVs. However, the current trend in UAV applications is expected to lead to a futuristic scenario where mission success would depend only on interaction among UAV groups with no interaction with any ground entity. However, to reach this capability level, it is necessary to first understand the various levels of autonomy and the crucial role that information and communication plays in making these autonomy levels possible. This article presents a detailed framework of UAV autonomous mission control levels in the context of information flow and communication between UAVs and UAV groups for each level of autonomy.

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