The application of the Generalized Likelihood Ratio technique to the detection and identification of aircraft control element failures has been evaluated in a linear digital simulation of the longitudinal dynamics of a B-737 aircraft. Simulation results show that the technique has potential but that the effects of wind turbulence and Kalman filter model errors are problems which must be overcome
A Bell 206B main rotor gearbox was run at high load under test conditions in the Helicopter Transmi...
In-flight sensor fault detection and isolation (FDI) is critical to maintaining reliable engine oper...
A detection scheme based on the artificial immune system (AIS) paradigm was developed for specific c...
The application of the failure detection filter to the detection and identification of aircraft cont...
Includes bibliographical references.Originally presented as author's thesis (M.S.--Masschusetts Insi...
A new sensor/actuator failure analysis technique for turbofan jet engines was developed. Three phase...
peer reviewedKalman filters are widely used in the turbine engine community for health monitoring pu...
The research is reported on the problems of failure detection and reliable system design for digital...
Abstract: Fault detection based on comparing a batch of data with a model of the system using the ge...
A model-based fault detection and diagnosis (FDD) solution improves the capability in a civil aircra...
In this paper, a bank of Kalman filters is applied to aircraft gas turbine engine sensor and actuato...
In this report, a fault detection and isolation (FDI) system which utilizes a bank of Kalman filters...
The problem of model-based fault detection is studied with application of the Kalman ¦lter for resid...
The modifications to the design of a fault inferring nonlinear detection system (FINDS) algorithm to...
The purpose of this study is the application of Kalman filters to real-time Flight Regime Recognitio...
A Bell 206B main rotor gearbox was run at high load under test conditions in the Helicopter Transmi...
In-flight sensor fault detection and isolation (FDI) is critical to maintaining reliable engine oper...
A detection scheme based on the artificial immune system (AIS) paradigm was developed for specific c...
The application of the failure detection filter to the detection and identification of aircraft cont...
Includes bibliographical references.Originally presented as author's thesis (M.S.--Masschusetts Insi...
A new sensor/actuator failure analysis technique for turbofan jet engines was developed. Three phase...
peer reviewedKalman filters are widely used in the turbine engine community for health monitoring pu...
The research is reported on the problems of failure detection and reliable system design for digital...
Abstract: Fault detection based on comparing a batch of data with a model of the system using the ge...
A model-based fault detection and diagnosis (FDD) solution improves the capability in a civil aircra...
In this paper, a bank of Kalman filters is applied to aircraft gas turbine engine sensor and actuato...
In this report, a fault detection and isolation (FDI) system which utilizes a bank of Kalman filters...
The problem of model-based fault detection is studied with application of the Kalman ¦lter for resid...
The modifications to the design of a fault inferring nonlinear detection system (FINDS) algorithm to...
The purpose of this study is the application of Kalman filters to real-time Flight Regime Recognitio...
A Bell 206B main rotor gearbox was run at high load under test conditions in the Helicopter Transmi...
In-flight sensor fault detection and isolation (FDI) is critical to maintaining reliable engine oper...
A detection scheme based on the artificial immune system (AIS) paradigm was developed for specific c...