Comparative analysis of BPNN, SVR, LSTM, Random Forest, and LSTM-SVR for conditional simulation of non-Gaussian measured fluctuating wind pressures

J Li, D Zhu, C Li - Mechanical Systems and Signal Processing, 2022 - Elsevier
Non-Gaussian fluctuating wind pressure occurs in the separation zone of a structure, which
will cause structural fatigue damage. The study of non-Gaussian wind pressure, accordingly, …

Johnson curve model based CDF mapping method for estimating extreme values of the measured non-Gaussian wind pressures including the non-stationary effect …

J Li, D Zhu, C Li - Mechanical Systems and Signal Processing, 2023 - Elsevier
The study about the extreme value estimation of non-Gaussian wind pressure signals is
crucial for structural safety or health monitoring. This is because the long tail region of the non-…

A moving load amplitude spectrum for analyzing the resonance and vibration cancellation of simply supported bridges under moving loads

J Li, H Zhang, D Zhu, C Li - European Journal of Mechanics-A/Solids, 2022 - Elsevier
A novel method for analyzing the resonance and vibration cancellation of simply supported
bridges in the frequency domain by using moving load amplitude spectrum (MLAS) is …

Optimization and sensitivity of TMD parameters for mitigating bridge maximum vibration response under moving forces

J Li, H Zhang, S Chen, D Zhu - Structures, 2020 - Elsevier
In order to effectively reduce the vertical vibration response of the bridge, this paper proposes
a frequency-domain analysis method of bridge vibration that can consider the influence of …

A wavelet transform based stationary transformation method for estimating the extreme value of the non-stationary wind speeds

J Li, D Zhu, L Cao, C Li - Probabilistic Engineering Mechanics, 2023 - Elsevier
The rational estimation of extreme wind speeds is crucial. As reported, in the Chinese area,
the measured wind speed variation from different meteorological observatories shows a …

BLDnet: robust learning-based detection for high-order QAM with nonlinear distortion

L Zou, M Jiang, C Zhao, Y He, D Zhu… - 2020 IEEE/CIC …, 2020 - ieeexplore.ieee.org
The performances of wireless communication systems are strongly limited by the nonlinearities
that exist in the transceiver. We first study the effect of nonlinearities of power amplifiers …

A novel in‐motion alignment method for underwater SINS using a state‐dependent Lie group filter

F Pei, H Xu, N Jiang, D Zhu - Navigation, 2020 - Wiley Online Library
The in‐motion alignment for the underwater strapdown inertial navigation system is still a
challenging problem due to various disturbances in the underwater environment. In this paper, …

An In-Motion Initial Alignment Algorithm for SINS Using Lie Group Matrix Kalman Filter

F Pei, D Zhu, S Yin - 2019 Chinese Automation Congress …, 2019 - ieeexplore.ieee.org
In this paper, an in-motion initial alignment algorithm based on Lie group matrix kalman
filter is proposed. According to the Lie group's properties and the attitude optimization-based …

Remote estimation with sensor scheduling

L Xiao, Z Sun, D Zhu, M Chen - Advances in Neural Networks–ISNN 2009 …, 2009 - Springer
A time-varying Kalman filter is proposed to solve the problem of remote estimation with sensor
scheduling and measurement loss. The statistical properties of the estimation error are …

[HTML][HTML] A Novel Coarse Alignment Method for SINS Using Special Orthogonal Group Optimal Estimation

F Pei, S Yang, D Zhu, S Yin - Sensors, 2020 - mdpi.com
Aimed at the alignment problem of strapdown inertial navigation system (SINS) on the swing
base, a novel coarse alignment method using special orthogonal group optimal estimation …