Journal ArticleDOI
Turbofan engine demonstration of sensor failure detection
TLDR
In this article, the results of a full-scale engine demonstration of a sensor failure detection algorithm are presented, which detects, isolates, and accommodates sensor failures using analytical redundancy.Abstract:
In the paper, the results of a full-scale engine demonstration of a sensor failure detection algorithm are presented. The algorithm detects, isolates, and accommodates sensor failures using analytical redundancy. The experimental hardware, including the F100 engine, is described. Demonstration results were obtained over a large portion of a typical flight envelope for the F100 engine. They include both subsonic and supersonic conditions at both medium and full, nonafter burning, power. Estimated accuracy, minimum detectable levels of sensor failures, and failure accommodation performance for an F100 turbofan engine control system are discussed.read more
Citations
More filters
Book
Robust Model-Based Fault Diagnosis for Dynamic Systems
Jie Chen,Ron J. Patton +1 more
TL;DR: Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research.
Dissertation
Sliding mode observers for fault detection and isolation
TL;DR: A new method using Linear Matrix Inequalities is presented, which can robustly reconstruct faults in the presence of a class system of uncertainty, minimising the effect of the uncertainty on the fault reconstruction in an £ 2 sense.
Journal ArticleDOI
Stable fault-tolerant adaptive fuzzy/neural control for a turbine engine
Yixin Diao,Kevin M. Passino +1 more
TL;DR: The effectiveness of the proposed methods has been studied by extensive analysis of system zero dynamics and asymptotic tracking abilities for both indirect and direct adaptive control cases, and by "component level model" simulation of the General Electric XTE46 turbine engine.
Book
A Survey of Intelligent Control and Health Management Technologies for Aircraft Propulsion Systems
Jonathan S. Litt,Donald L. Simon,Sanjay Garg,Ten-Heui Guo,Carolyn R. Mercer,Richard Miller,Alireza Behbahani,Anupa Bahwa,Daniel T. Jensen +8 more
TL;DR: The existing state of engine control and on-board health management is described, and some specific technologies under development that will enable an aircraft propulsion system to operate in an intelligent way-defined as self-diagnostic, self-prognostic,self-optimizing, and mission adaptable are surveyed.
Journal ArticleDOI
Decentralized fault detection and isolation in wireless structural health monitoring systems using analytical redundancy
Kay Smarsly,Kincho H. Law +1 more
TL;DR: The design and the prototype implementation of a wireless SHM system capable of autonomously detecting and isolating various types of sensor faults are shown and an outlook on possible future research directions is shown.
References
More filters
Journal ArticleDOI
Advanced detection, isolation and accommodation of sensor failures: Real-time evaluation
TL;DR: The Advanced Detection, Isolation, and Accommodation (ADIA) program as discussed by the authors aims to improve the overall demonstrated reliability of turbine engines by using analytical redundancy to detect sensor failures.
Journal ArticleDOI
Sensor failure detection for jet engines using analytical redundancy
TL;DR: Analytical redundant sensor failure detection, isolation and accommodation techniques for gas turbine engines are surveyed in this paper, both the theoretical technology base and demonstrated concepts are discussed, and a discussion of current technology needs and ongoing Government sponsored programs to meet those needs.
Proceedings ArticleDOI
Sensor failure detection for jet engines using analytical redundancy
TL;DR: Analytical redundant sensor failure detection, isolation and accommodation techniques for gas turbine engines are surveyed in this article, both the theoretical technology base and demonstrated concepts are discussed, and a discussion of current technology needs and ongoing Government sponsored programs to meet those needs.
Sensor failure detection for jet engines
TL;DR: In this article, the advanced sensor failure detection, isolation, and accommodation (DIA) algorithm was studied to eliminate the steady state errors due to estimation filter biases, and three algorithm revisions were formulated and one revision for detailed evaluation was chosen.
Proceedings ArticleDOI
A real-time implementation of an advanced sensor failure detection, isolation, and accommodation algorithm
J. C. Delaat,W. C. Merrill +1 more
TL;DR: A sensor failure detection, isolation, and accommodation algorithm was developed which incorporates analytic sensor redundancy through software which was implemented in a high level language on a microprocessor based controls computer.