Particle filter‐based hybrid damage prognosis considering measurement bias
Hybrid methods combining physical knowledge and data‐driven techniques have shown
great potential for damage prognosis in structural health monitoring (SHM). Current …
great potential for damage prognosis in structural health monitoring (SHM). Current …
[HTML][HTML] Particle filter-based damage prognosis using online feature fusion and selection
Damage prognosis generally resorts to damage quantification functions and evolution
models to quantify the current damage state and to predict the future states and the …
models to quantify the current damage state and to predict the future states and the …
Estimating damage size and remaining useful life in degraded structures using deep learning-based multi-source data fusion
In this article, a new deep learning-based approach for online estimation of damage size
and remaining useful life of structures is presented. The proposed approach consists of …
and remaining useful life of structures is presented. The proposed approach consists of …
A hybrid population-based degradation model for pipeline pitting corrosion
This paper presents a novel algorithm to develop a population-based pitting corrosion
degradation model for piggable oil and gas pipelines. The algorithm is designed to estimate …
degradation model for piggable oil and gas pipelines. The algorithm is designed to estimate …
Application of relative entropy and gradient boosting decision tree to fault prognosis in electronic circuits
L Wang, D Zhou, H Zhang, W Zhang, J Chen - Symmetry, 2018 - mdpi.com
Fault prognosis of electronic circuits is the premise of guaranteeing normal operation of a
system and carrying out on-condition maintenance. In this work, the remaining useful life …
system and carrying out on-condition maintenance. In this work, the remaining useful life …
Remaining useful life prediction of analog circuit using improved unscented particle filter
S Rathnapriya, V Manikandan - Journal of Electronic Testing, 2020 - Springer
This work aims to predict the remaining useful life of various components in the analog
circuit under non-linear operating conditions. However, the failure process is described by …
circuit under non-linear operating conditions. However, the failure process is described by …
Highly sensitive nonlinear identification to track early fatigue signs in flexible structures
This study describes a physics-based and data-driven nonlinear system identification (NSI)
approach for detecting early fatigue damage due to vibratory loads. The approach also …
approach for detecting early fatigue damage due to vibratory loads. The approach also …
Probabilistic model of degradation of cable insulations in nuclear power plants
Possible degradation of cable insulations exposed to radiation and heat is a safety and
operational concern for nuclear power plants, particularly in the context of a license …
operational concern for nuclear power plants, particularly in the context of a license …
Auxiliary Particle Filter for Prognostics and Health Management
Accurately predicting the remaining useful life (RUL) of a system is a crucial factor in
prognostics and health management (PHM). This paper introduces an auxiliary particle filter …
prognostics and health management (PHM). This paper introduces an auxiliary particle filter …
Adaptive simulation modelling using the Digital Twin paradigm
MS Sapkota - 2023 - eprints.bournemouth.ac.uk
Structural Health Monitoring (SHM) involves the application of qualified standards, by
competent people, using appropriate processes and procedures throughout the struc-ture's …
competent people, using appropriate processes and procedures throughout the struc-ture's …