A review: Data driven-based fault diagnosis and RUL prediction of petroleum machinery and equipment
D Ji, C Wang, J Li, H Dong - Systems Science & Control …, 2021 - Taylor & Francis
In this paper, an up-to-date overview is provided on the data driven-based fault diagnosis
(FD) and remaining useful life (RUL) prediction problems of the petroleum machinery and …
(FD) and remaining useful life (RUL) prediction problems of the petroleum machinery and …
Unbiased finite impluse response filtering: An iterative alternative to Kalman filtering ignoring noise and initial conditions
If a system and its observation are both represented in state space with linear equations, the
system noise and the measurement noise are white, Gaussian, and mutually uncorrelated …
system noise and the measurement noise are white, Gaussian, and mutually uncorrelated …
Robust Kalman filters based on Gaussian scale mixture distributions with application to target tracking
In this paper, a new robust Kalman filtering framework for a linear system with non-Gaussian
heavy-tailed and/or skewed state and measurement noises is proposed through modeling …
heavy-tailed and/or skewed state and measurement noises is proposed through modeling …
Tightly coupled integration of INS and UWB using fixed-lag extended UFIR smoothing for quadrotor localization
Y Xu, YS Shmaliy, CK Ahn, T Shen… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Accurate indoor localization information of the quadrotor plays an important role in many
Internet-of-Things applications. To improve the estimation accuracy and robustness, a fixed …
Internet-of-Things applications. To improve the estimation accuracy and robustness, a fixed …
Distributed iterative FIR consensus filter for multiagent systems over sensor networks
For the target-tracking problem, full state of the target may not be available since it may be
expensive or impossible to obtain. Thus, the state needs to be reconstructed or estimated …
expensive or impossible to obtain. Thus, the state needs to be reconstructed or estimated …
Adaptive robust INS/UWB-integrated human tracking using UFIR filter bank
For human navigation, the ultra wide band (UWB)-based positioning technologies require
extra infrastructure, while the inertial navigation system (INS)-based ones produce drift …
extra infrastructure, while the inertial navigation system (INS)-based ones produce drift …
Extended Kalman/UFIR filters for UWB-based indoor robot localization under time-varying colored measurement noise
Y Xu, YS Shmaliy, S Bi, X Chen… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In indoor robot localization by using ultra-wideband (UWB), the extended Kalman filter (EKF)-
based algorithms suffer from the colored measurement noise (CMN) that degrades the …
based algorithms suffer from the colored measurement noise (CMN) that degrades the …
Multi-sensor filtering fusion with parametric uncertainties and measurement censoring: Monotonicity and boundedness
This paper is concerned with the Tobit Kalman fusion estimation problem for a class of multi-
sensor systems subject to parametric uncertainties and measurement censoring. The …
sensor systems subject to parametric uncertainties and measurement censoring. The …
Set-membership filtering for state-saturated systems with mixed time-delays under weighted try-once-discard protocol
This brief is concerned with the set-membership filtering problem for a class of time-varying
state-saturated systems with mixed time-delays under the communication protocol. Under …
state-saturated systems with mixed time-delays under the communication protocol. Under …
Self-tuning unbiased finite impulse response filtering algorithm for processes with unknown measurement noise covariance
An unbiased finite impulse response (UFIR) filtering algorithm is designed in the discrete-
time state-space for industrial processes with unknown measurement data covariance. By …
time state-space for industrial processes with unknown measurement data covariance. By …