Results 81 to 90 of about 35,356 (190)

Assessment of an Anomaly Detector for Jet Engine Health Monitoring

International Journal of Rotating Machinery, 2011
The goal of module performance analysis is to reliably assess the health of the main components of an aircraft engine. A predictive maintenance strategy can leverage this information to increase operability and safety as well as to reduce costs ...
Sebastien Borguet, Olivier Léonard
doaj   +1 more source

Robust adaptive non‐linear alignment algorithm for SINS/DVL integrated navigation system based on variational Bayesian

IET Science, Measurement & Technology
The problem of dynamic attitude alignment for strapdown inertial navigation system (SINS) and Doppler velocity log (DVL) integrated navigation has become a research hotspot. Underwater complex environment makes DVL output vulnerable to non‐Gaussian noise
Bing Zhu, Jingshu Li, Guoheng Cui, Zuohu Li, Ge Tian, Xia Guo   +5 more
doaj   +1 more source

Filter for Traffic Congestion Prediction: Leveraging Traffic Control Signal Actions for Dynamic State Estimation

IEEE Access
The field of intelligent transportation systems is rapidly evolving, with increasing focus on addressing traffic congestion, a pervasive problem in urban environments.
Younus Hasan Taher, Jit Singh Mandeep, Mohammad Tariqul Islam, Omer Tareq Abdulhae, Ahmed Thair Shakir, Md. Shabiul Islam, Mohamed S. Soliman   +6 more
doaj   +1 more source

Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Combining the classical Kalman filter (KF) with a deep neural network (DNN) enables tracking in partially known state space (SS) models. A major limitation of current DNN-aided designs stems from the need to train them to filter data originating from a specific distribution and underlying SS model.
Ni, Xiaoyong, Revach, Guy, Shlezinger, Nir   +2 more
openaire   +2 more sources

The Potential of Deep Learning in Underwater Wireless Sensor Networks and Noise Canceling for the Effective Monitoring of Aquatic Life

Sensors
This paper describes a revolutionary design paradigm for monitoring aquatic life. This unique methodology addresses issues such as limited memory, insufficient bandwidth, and excessive noise levels by combining two approaches to create a comprehensive ...
Walaa M. Elsayed, Maazen Alsabaan, Mohamed I. Ibrahem, Engy El-Shafeiy   +3 more
doaj   +1 more source

Adaptive Kalman filtering [PDF]

Analytical Chemistry, 1991
openaire   +1 more source

Adaptive Kalman Filter Under Minimum Error Entropy with Fiducial Points for Strap-Down Inertial Navigation System/Ultra-Short Baseline Integrated Navigation Systems

Journal of Marine Science and Engineering
The integration of strap-down inertial navigation systems (SINSs) and ultra-short baseline (USBL) systems has become a mainstream navigation approach for unmanned underwater vehicles (UUVs).
Boyang Wang, Zhenjie Wang
doaj   +1 more source

Sampling-Based Adaptive Techniques for Reducing Non-Gaussian Position Errors in GNSS/INS Systems

Aerospace
In this paper, we propose a novel method to reduce non-Gaussian errors in measurements using sampling-based distribution estimation. Although non-Gaussian errors are often treated as statistical deviations, they can frequently arise in practical unmanned
Yong Hun Kim, Joo Han Lee, Kyeong Wook Seo, Min Ho Lee, Jin Woo Song   +4 more
doaj   +1 more source

Hidden AR process and adaptive Kalman filter

Annals of the Institute of Statistical Mathematics
41 ...
openaire   +3 more sources

Model predictive control with adaptive Kalman filter for premixed turbocharged natural gas engine. [PDF]

Sci Rep
Xiong W, Gong Q, Huang S, Ye J, Xu J.
europepmc   +1 more source