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The application of reasoning to aerospace Integrated Vehicle Health Management (IVHM): Challenges and opportunities
TLDR
This paper focuses on the field of AI, especially reasoning technology and explores how it has helped the growth of IVHM in the past. Expand
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The State of the Art in Selective Catalytic Reduction Control
Selective Catalytic Reduction (SCR) is a leading after treatment technology for the removal of nitrogen oxide (NOx) from exhaust gases (DeNOx). It presents an interesting control challenge,Expand
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Anomaly detection of aircraft engine in FDR (flight data recorder) data
TLDR
The proposed method compares the feature vectors of all FDR data and detects an FDR data in which the abnormal behaviour of the aircraft engine is recorded from a large amount of FDR data. Expand
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The Application of Bayesian Change Point Detection in UAV Fuel Systems
Abstract A significant amount of research has been undertaken in statistics to develop and implement various change point detection techniques for different industrial applications. One of theExpand
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Fault detection and diagnosis for general discrete-time stochastic systems using output probability density estimation
TLDR
A new approach of fault detection and diagnosis (FDD) for general stochastic systems in discrete-time is studied. Expand
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A Rest Time-Based Prognostic Framework for State of Health Estimation of Lithium-Ion Batteries with Regeneration Phenomena
State of health (SOH) prognostics is significant for safe and reliable usage of lithium-ion batteries. To accurately predict regeneration phenomena and improve long-term prediction performance ofExpand
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State of Health Estimation of Li-ion Batteries with Regeneration Phenomena: A Similar Rest Time-Based Prognostic Framework
TLDR
State of health (SOH) prediction in Li-ion batteries plays an important role in intelligent battery management systems (BMS). Expand
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Iterative Fault Tolerant Control for General Discrete-Time Stochastic Systems Using Output Probability Density Estimation
TLDR
A new design of a fault tolerant control (FTC)-based an adaptive, fixed-structure proportional-integral (PI) controller with constraints on the state vector for nonlinear discrete-time system subject to stochastic non-Gaussian disturbance is studied. Expand
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Comparison of different classification algorithms for fault detection and fault isolation in complex systems
TLDR
This paper compares the performance of three classifiers (namely linear support vector machine (SVM), distance-weighted k-nearest neighbor (WKNN), and decision tree (DT) using data from optimized and non-optimized sensor set solutions. Expand
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