Switch open-circuit fault localization strategy for MMCs using sliding-time window based features extraction algorithm
Fault localization is one of the most important issues for the modular multilevel converters
(MMC) consisting of lots of switches. This article proposes a switch open-circuit fault …
(MMC) consisting of lots of switches. This article proposes a switch open-circuit fault …
In situ distribution guided analysis and visualization of transonic jet engine simulations
Study of flow instability in turbine engine compressors is crucial to understand the inception
and evolution of engine stall. Aerodynamics experts have been working on detecting the …
and evolution of engine stall. Aerodynamics experts have been working on detecting the …
Stock index prediction based on wavelet transform and FCD‐MLGRU
X Li, P Tang - Journal of Forecasting, 2020 - Wiley Online Library
With the development of artificial intelligence, deep learning is widely used in the field of
nonlinear time series forecasting. It is proved in practice that deep learning models have …
nonlinear time series forecasting. It is proved in practice that deep learning models have …
Human activity recognition based on mixed CNN with radar multi-spectrogram
L Tang, Y Jia, Y Qian, S Yi, P Yuan - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Deep learning makes radar-based human activity recognition (HAR) attract more attention in
the fields of intelligent security, traffic management, medical rehabilitation and military …
the fields of intelligent security, traffic management, medical rehabilitation and military …
Isosurface visualization of data with nonparametric models for uncertainty
The problem of isosurface extraction in uncertain data is an important research problem and
may be approached in two ways. One can extract statistics (eg, mean) from uncertain data …
may be approached in two ways. One can extract statistics (eg, mean) from uncertain data …
Statistical visualization and analysis of large data using a value-based spatial distribution
The size of large-scale scientific datasets created from simulations and computed on
modern supercomputers continues to grow at a fast pace. A daunting challenge is to analyze …
modern supercomputers continues to grow at a fast pace. A daunting challenge is to analyze …
Distribution driven extraction and tracking of features for time-varying data analysis
Effective analysis of features in time-varying data is essential in numerous scientific
applications. Feature extraction and tracking are two important tasks scientists rely upon to …
applications. Feature extraction and tracking are two important tasks scientists rely upon to …
Cyber-attack detection: modeling and roof-pv generation system defending
The continuous increase of renewable energy installation in the power system such as roof-
PV systems decreases the system inertia. It is a non-negligible challenge to the system's …
PV systems decreases the system inertia. It is a non-negligible challenge to the system's …
Homogeneity guided probabilistic data summaries for analysis and visualization of large-scale data sets
High-resolution simulation data sets provide plethora of information, which needs to be
explored by application scientists to gain enhanced understanding about various …
explored by application scientists to gain enhanced understanding about various …
Application of wavelet transform for determining diagnostic signs
It is proposed to apply the wavelet transform to localize in time the frequency components of
the information signals in this article. The wavelet transform allows to fulfil time-frequency …
the information signals in this article. The wavelet transform allows to fulfil time-frequency …