Optimal sensor placement methodology of hydraulic control system for fault diagnosis
During the state monitoring and fault diagnosis of hydraulic control system, different kinds of
sensors are used to collect fault signals. The arrangement of a limited number of sensors in …
sensors are used to collect fault signals. The arrangement of a limited number of sensors in …
A novel two-step strategy of non-probabilistic multi-objective optimization for load-dependent sensor placement with interval uncertainties
Conventional optimal sensor placement methods use structural dynamic characteristics
such as mode shapes to determine sampling positions for extracting information. However …
such as mode shapes to determine sampling positions for extracting information. However …
A robust-based configuration design method of piezoelectric materials for mechanical load identification considering structural vibration suppression
Piezoelectric materials have received considerable attention to structural vibration
suppression and health monitoring by virtue of their transform ability between electric energy …
suppression and health monitoring by virtue of their transform ability between electric energy …
Multiobjective-clustering-based optimal heterogeneous sensor placement method for thermo-mechanical load identification
The direct measurement of external loads acting on structures remains a challenge in many
engineering applications. In this context, mechanical load identification has received …
engineering applications. In this context, mechanical load identification has received …
Load-independent multi-objective sensor placement method for localization and reconstruction of external excitations under interval uncertainties
The direct measurement of external excitations under operation conditions remains
challenging in many engineering applications. This study proposes a method of optimal …
challenging in many engineering applications. This study proposes a method of optimal …
[HTML][HTML] An adaptive-noise Augmented Kalman Filter approach for input-state estimation in structural dynamics
The establishment of a Digital Twin of an operating engineered system can increase the
potency of Structural Health Monitoring (SHM) tools, which are then bestowed with …
potency of Structural Health Monitoring (SHM) tools, which are then bestowed with …
Information theoretic-based optimal sensor placement for virtual sensing using augmented Kalman filtering
An optimal sensor placement (OSP) framework for virtual sensing using the augmented
Kalman Filter (AKF) technique is presented based on information and utility theory. The …
Kalman Filter (AKF) technique is presented based on information and utility theory. The …
A pseudolinear maximum correntropy Kalman filter framework for bearings-only target tracking
S Zhong, B Peng, L Ouyang, X Yang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
This article presents a framework for a pseudolinear Kalman filter (PLKF) based on the
maximum correntropy criterion for the bearings-only target tracking problem in non …
maximum correntropy criterion for the bearings-only target tracking problem in non …
A bilayer optimization strategy of optimal sensor placement for parameter identification under uncertainty
A bilayer optimization strategy is proposed in this research in order to improve the efficiency
in the process of optimal sensor placement aiming at decreasing the uncertainty in …
in the process of optimal sensor placement aiming at decreasing the uncertainty in …
Assessment of alternative covariance functions for joint input-state estimation via Gaussian Process latent force models in structural dynamics
Digital technologies can be used to gather accurate information about the behavior of
structural components for improving systems design, as well as for enabling advanced …
structural components for improving systems design, as well as for enabling advanced …