Dynamic load identification for mechanical systems: A review
R Liu, E Dobriban, Z Hou, K Qian - Archives of Computational Methods in …, 2022 - Springer
Due to the great challenges of measuring forces directly, identifying dynamic loads based on
accessible responses is a crucial problem in engineering, helping ensure integrity and …
accessible responses is a crucial problem in engineering, helping ensure integrity and …
A hybrid model-data-driven framework for inverse load identification of interval structures based on physics-informed neural network and improved Kalman filter …
Accurately capturing data on the external loads that large structural systems endure is
crucial for improving the performance of energy equipment. This paper introduces a novel …
crucial for improving the performance of energy equipment. This paper introduces a novel …
[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 …
Advancements in Optimal Sensor Placement for Enhanced Structural Health Monitoring: Current Insights and Future Prospects
Y Wang, Y Chen, Y Yao, J Ou - Buildings, 2023 - mdpi.com
Structural health monitoring (SHM) is critical to maintaining safe and reliable civil
infrastructure, but the optimal design of an SHM sensing system, ie, optimal sensor …
infrastructure, but the optimal design of an SHM sensing system, ie, optimal sensor …
Principal force pattern and impulse response mode for structural equivalent force estimation and full-field response reconstruction
An impulse response mode-based approach is proposed in this study to estimate the
equivalent force and achieve full-field monitoring under complex loading conditions. The …
equivalent force and achieve full-field monitoring under complex loading conditions. The …
A novel uncertainty-oriented regularization method for load identification
C Yang - Mechanical Systems and Signal Processing, 2021 - Elsevier
Since conventional regularization methods have been constructed in the deterministic
framework, using deterministic regularization methods to address the ill-posedness problem …
framework, using deterministic regularization methods to address the ill-posedness problem …
Indirect measurement of propeller fluctuating forces using an inverse analysis: Numerical and experimental studies
Z Zhang, Y Zhong, N Duan, Y Wei, H Hua - Ocean Engineering, 2023 - Elsevier
The propeller fluctuating force is being recognized as the dominant source of underwater
radiated noise, its accurate acquisition is thus necessitated for a reliable acoustic-structure …
radiated noise, its accurate acquisition is thus necessitated for a reliable acoustic-structure …
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 …
Advanced optimal sensor placement for Kalman-based multiple-input estimation
The direct measurement of the external loads acting on a mechanical component represents
often a challenge in many engineering applications. In this context, the attention of many …
often a challenge in many engineering applications. In this context, the attention of many …
Model order reduction of time-domain vibro-acoustic finite element simulations with admittance boundary conditions for virtual sensing applications
Virtual sensing employs an estimator that combines a numerical model and a limited set of
measurements to estimate the full field pressure of a vibro-acoustic system in the time …
measurements to estimate the full field pressure of a vibro-acoustic system in the time …