PCA Methods and Evidence Based Filtering for Robust Aircraft Sensor Fault Diagnosis
In this paper PCA and D-PCA techniques are applied for the design of a Data Driven diagnostic Fault Isolation (FI) and Fault Estimation (FE) scheme for 18 primary sensors of a semi-autonomous aircraft. Specifically, Contributions-based, and Reconstruction-based Contributions approaches have been considered. To improve FI performance an inference mechanism derived from evidence-based decision making theory has been proposed. A detailed FI and FE study is presented for the True Airspeed sensor based on experimental data. Evidence Based Filtering (EBF) showed to be very effective particularly in reducing false alarms.
Code (0)
등록된 구현이 없습니다.
Tasks
Decision MakingDiagnosticFault DiagnosisMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
A Robust Data-Driven Fault Diagnosis scheme based on Recursive Dempster-Shafer Combination Rule *
In-flight sensor fault diagnosis and recursive combination of residual signals via the Dempster-Shafer (DS) theory have been considered in this study. In particular, a novel evidence-based combination rule of residual er…
Fault DiagnosisStatistical Linear Regression Approach to Kalman Filtering and Smoothing under Cyber-Attacks
Remote state estimation in cyber-physical systems is often vulnerable to cyber-attacks due to wireless connections between sensors and computing units. In such scenarios, adversaries compromise the system by injecting fa…
BlockingState EstimationState Space ModelsAn Intelligent Fault Diagnosis Method for General Aviation Aircraft Based on Multi-Fidelity Digital Twin and FMEA Knowledge Enhancement
Fault diagnosis of general aviation aircraft faces challenges including scarce real fault data, diverse fault types, and weak fault signatures. This paper proposes an intelligent fault diagnosis framework based on multi-…
Fault DiagnosisAugmented Imagefication: A Data-driven Fault Detection Method for Aircraft Air Data Sensors
In this paper, a novel data-driven approach named Augmented Imagefication for Fault detection (FD) of aircraft air data sensors (ADS) is proposed. Exemplifying the FD problem of aircraft air data sensors, an online FD sc…
Fault DetectionA Distributed Quaternion Kalman Filter With Applications to Fly-by-Wire Systems
The introduction of automated flight control and management systems have made possible aircraft designs that sacrifice arodynamic stability in order to incorporate stealth technology intro their shape, operate more effic…
Management