A model-based approach to prognostics and health management for flight control actuators

Byington, Carl S.; Watson, Matthew J.; Edwards, D.; Stoelting, Paul

doi:10.1109/aero.2004.1368172

Cited by 134 publications

(87 citation statements)

References 6 publications

(6 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A variety of techniques have been developed for aircraft fault detection and failure evaluations. [34][35][36][37][38] In the presence of more severe situations like airframe damages resulting form fatigue cracks, foreign objects and overstress during upsets, which normal PHM cannot diagnose, we need a process to implement the detection, isolation and estimation of those damages. Few researchers focus on this problem, part of the reason is that the structural damage causes the change of not only aerodynamic coefficients but also the overall structure, and it always couples with the paralysis of actuators.…”

Section: 23mentioning

confidence: 99%

Online Safe Flight Envelope Prediction for Damaged Aircraft: A Database-driven Approach

Zhang

Visser

Chu

2016

AIAA Modeling and Simulation Technologies Conference

View full text Add to dashboard Cite

This paper proposed a framework of database-driven approach to solve the problem of online safe flight envelope prediction for aircraft safe recovery under abnormal conditions. On occurrence of sudden accidents like structural damages, conventional systems have neither enough measurements for the online reidentification of global damaged models, nor enough time for the onboard safe flight envelope computation. To circumvent these technical bottlenecks and make online applications more feasible in such emergency situations, some information, like global damaged models and the corresponding safe flight envelops, could be stored offline in a database for later online retrieval.

show abstract

Section: 23mentioning

confidence: 99%

Online Safe Flight Envelope Prediction for Damaged Aircraft: A Database-driven Approach

Zhang

Visser

Chu

2016

AIAA Modeling and Simulation Technologies Conference

View full text Add to dashboard Cite

show abstract

“…These studies tend to take two approaches to uncertainty estimation. Uncertainty measurements in (Engel et al 2000) and are estimated based on the model architecture used to make the prediction, while Byington et al (2004) utilized Bayesian belief models to estimate the uncertainty. Liu et al (2010) utilized a bootstrap approach wherein the prognostic model is developed and executed many (in this work, 50) times and features of the RUL prediction are estimated from the aggregate results.…”

Section: General Path Modelmentioning

confidence: 99%

“…The authors in that work apply traditional regression models and neural networks to trend system degradation. In later years, the extrapolation methodology of traditional regression models was applied to helicopter gearboxes (Engel et al 2000), flight control actuators (Byington et al 2004), aircraft power systems (Keller et al 2006), computer power supplies , global positioning systems (Brown et al 2007), and lithium-ion batteries (Liu et al 2010). In addition, work by Chinnam (1999) applied the GPM methodology to feed forward neural networks for estimating degradation levels.…”

Section: General Path Modelmentioning

confidence: 99%

Lifecycle Prognostics Architecture for Selected High-Cost Active Components

Lybeck¹,

Pham²,

Tawfik³

et al. 2011

View full text Add to dashboard Cite

There are an extensive body of knowledge and some commercial products available for calculating prognostics, remaining useful life, and damage index parameters. The application of these technologies within the nuclear power community is still in its infancy. Online monitoring and condition-based maintenance is seeing increasing acceptance and deployment, and these activities provide the technological bases for expanding to add predictive/prognostics capabilities. In looking to deploy prognostics there are three key aspects of systems that are presented and discussed: component/system/structure selection, prognostic algorithms, and prognostics architectures. Criteria are presented for component selection: feasibility, failure probability, consequences of failure, and benefits of the prognostics and health management (PHM) system. The basis and methods commonly used for prognostics algorithms are reviewed and summarized. Criteria for evaluating PHM architectures are presented: open, modular architecture; platform independence; graphical user interface for system development and/or results viewing; web-enabled tools; scalability; and standards compatibility.Thirteen software products were identified and discussed in the context of being potentially useful for deployment in a PHM program applied to systems in a nuclear power plant (NPP). These products were evaluated by using information available from company websites, product brochures, fact sheets, scholarly publications, and direct communication with vendors. The thirteen products were classified into four groups of software: research tools, PHM system development tools, deployable architectures, and peripheral tools. Eight software tools fell into the deployable architectures category. Of those eight, only two employ all six modules of a full PHM system. Five systems did not offer prognostic estimates, and one system employed the full health monitoring suite but lacked operations and maintenance support. Each product is briefly described in Appendix A, "Assessment Criteria." Selection of the most appropriate software package for a particular application will depend on the chosen component, system, or structure. Ongoing research will determine the most appropriate choices for a successful demonstration of PHM systems in aging NPPs.iv v SUMMARYAt the start of 2011, there were 439 nuclear power plants (NPPs) in the commercial global fleet; these plants started operation with 30-or 40-year licenses. The 104 NPPs in the United States represent about 10% of the installed capacity and currently provide about 20% of U.S. electricity. They have become highly efficient with an average capacity factor in excess of 91%, and they are a key element in the delivery of base-load electricity. They were originally licensed for 40 years, and a process has been established to enable license extension, to permit operation from 40 to 60 years. As of July 2011, license extensions have been granted for 71 plants at 40 sites. An additional 13 plants at nine sites are currently ...

show abstract

“…Sensor measurement signals and state estimates from a state estimator (usually a Kalman or extended Kalman filter) are sent to an anomaly detection module. If the fault is classified as flight control actuator fault, diagnostic routines that are more appropriate for the problem 13,14,15 will be utilized to isolate the fault and estimate the fault parameters (e.g. control effectiveness loss, stuck position, etc.).…”

Section: System Overviewmentioning

confidence: 99%

Methodologies for Adaptive Flight Envelope Estimation and Protection

Tang

Roemer

et al. 2009

AIAA Guidance, Navigation, and Control Conference

View full text Add to dashboard Cite

This paper reports the latest development of several techniques for adaptive flight envelope estimation and protection system for aircraft under damage upset conditions. Through the integration of advanced fault detection algorithms, real-time system identification of the damage/faulted aircraft and flight envelop estimation, real-time decision support can be executed autonomously for improving damage tolerance and flight recoverability. Particularly, a bank of adaptive nonlinear fault detection and isolation estimators were developed for flight control actuator faults; a real-time system identification method was developed for assessing the dynamics and performance limitation of impaired aircraft; online learning neural networks were used to approximate selected aircraft dynamics which were then inverted to estimate command margins. As off-line training of network weights is not required, the method has the advantage of adapting to varying flight conditions and different vehicle configurations. The key benefit of the envelope estimation and protection system is that it allows the aircraft to fly close to its limit boundary by constantly updating the controller command limits during flight. The developed techniques were demonstrated on NASA's Generic Transport Model (GTM) simulation environments with simulated actuator faults. Simulation results and remarks on future work are presented.

show abstract

A model-based approach to prognostics and health management for flight control actuators

Cited by 134 publications

References 6 publications

Online Safe Flight Envelope Prediction for Damaged Aircraft: A Database-driven Approach

Online Safe Flight Envelope Prediction for Damaged Aircraft: A Database-driven Approach

Lifecycle Prognostics Architecture for Selected High-Cost Active Components

Methodologies for Adaptive Flight Envelope Estimation and Protection

Contact Info

Product

Resources

About