Reference health
Integrating Domain Knowledge with Neural Networks for Analytical Redundancy in Aircraft Engine Sensors
16/16 checkable references clean · checked 2026-09-03
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 16 checked references that resolve
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Controls and Health Management Technologies for Intelligent Aerospace Propulsion Systems
resolves10.1109/TITS.2019.2948394
Exploiting Redundancy for Reliability Analysis of Sensor Perception in Automated Driving Vehicles
resolves10.1007/978-3-030-47638-0_14
Identification of Lack of Knowledge Using Analytical Redundancy Applied to Structural Dynamic Systems
resolves10.1007/s10462-020-09934-2
A review on fault detection and diagnosis techniques: basics and beyond
resolves10.1109/CCA.2014.6981492
Remaining useful life assessment via residual generator approach — A SOH virtual sensor concept
resolves10.1155/2021/9959264
Analytical Redundancy of Variable Cycle Engine Based on Proper Net considering Multiple Input Variables and the Whole Engine’s Degradation
resolves10.1109/TIE.2004.824857
Virtual Sensor: Application to Vehicle Sideslip Angle and Transversal Forces
resolves10.1016/S0094-5765(01)00209-0
Analytical redundancy based fault detection of gyroscopes in spacecraft applications
resolves10.1016/j.knosys.2021.107642
Virtual sensing techniques for nonlinear dynamic processes using weighted probability dynamic dual-latent variable model and its industrial applications
resolves10.1155/2021/3936826
A Deep Neural Network-Based Fault Detection Scheme for Aircraft IMU Sensors
resolves10.1016/j.knosys.2021.107446
Deep learning-based surrogate modeling via physics-informed artificial image (PiAI) for strongly coupled multidisciplinary engineering systems
resolves10.1016/j.compind.2020.103386
Hybrid physics-informed neural networks for main bearing fatigue prognosis with visual grease inspection
resolves10.1016/j.jcp.2018.10.045
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
resolves10.1016/j.neunet.2022.07.023
Physics guided neural networks for modelling of non-linear dynamics
The 15 references without a DOI — listed, not checked
no DOI — not checkedref2
no DOI — not checkedref3
no DOI — not checkedSensor failure detection for jet engines
no DOI — not checkedSensor needs for control and health management of intelligent aircraft engines
no DOI — not checkedPrinciples for resilient design-a guide for understanding and implementation
no DOI — not checkedExploring inherent sensor redundancy for automotive anomaly detection
no DOI — not checkedRedundancy and its applications in wireless sensor networks: A survey
no DOI — not checkedref18
no DOI — not checkedVirtual sensor for the angle-of-attack signal in small commercial aircraft
no DOI — not checkedNeural network virtual sensors for fuel injection quantities with provable performance specifications
no DOI — not checkedFault detection of aero-engine sensor based on inception-cnn
no DOI — not checkedAircraft angle-of-attack virtual sensor design via a functional pooling narx methodology
no DOI — not checkedref26
no DOI — not checkedKnowledge-informed generative adversarial network for functional calibration of computer models
no DOI — not checkedPredicting molecular properties with covariant compositional networks
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