Results 161 to 170 of about 98,906 (246)

Simultaneous Pi2 pulsation detected by CSES-01, Swarm, RBSP and Arase satellites. [PDF]

open access: yesSci Rep
Ghamry E   +16 more
europepmc   +1 more source

Hilbert-Huang Transform and the Application

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS), 2020
The short-time fourier transform and wavelet transform are efficient non-stationary signal processing methods, but have their own limit. N.E. Huang put forward a new method, that is, to calculate the instantaneous frequency of the signal through ...
Yi Liu, H. An, Shuangshuang Bian
semanticscholar   +2 more sources

Automatic Power Quality Events Recognition Based on Hilbert Huang Transform and Weighted Bidirectional Extreme Learning Machine

IEEE Transactions on Industrial Informatics, 2018
In this paper, Hilbert Huang transform (HHT) and weighted bidirectional extreme learning machine (WBELM) are integrated to detect and classify power quality events (PQEs) in real time.
M. Sahani, P. Dash
semanticscholar   +3 more sources

Structural damage identification using modified Hilbert–Huang transform and support vector machine

Journal of Civil Structural Health Monitoring, 2021
Y. Diao   +4 more
semanticscholar   +3 more sources

Unbalance Bearing Fault Identification Using Highly Accurate Hilbert-Huang Transform Approach

Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems, 2023
The dynamic characteristics of rolling element bearings are strongly related to their geometric and operating parameters, most importantly the bearing unbalance.
V. G. Salunkhe   +3 more
semanticscholar   +1 more source

Improved Hilbert-Huang transform with soft sifting stopping criterion and its application to fault diagnosis of wheelset bearings.

ISA transactions, 2021
Vibration signals from rotating machineries are usually of multi-component and modulated signals. Hilbert-Huang transform (HHT), hereby referring to the combination of empirical mode decomposition (EMD) and normalized Hilbert transform (NHT), is an ...
Zhiliang Liu   +4 more
semanticscholar   +1 more source

Microgrid Fault Detection and Classification Based on the Boosting Ensemble Method With the Hilbert-Huang Transform

IEEE Transactions on Power Delivery, 2022
In this paper, a sequential ensemble of intelligence-based methods is used for fault detection and classification in microgrids. The proposed scheme is recommended because of the impracticality of conventional fault detection and protection due to ...
R. Azizi, S. Seker
semanticscholar   +1 more source

A robust condition monitoring methodology for grinding wheel wear identification using Hilbert Huang transform

Precision engineering, 2021
Grinding is a finishing operation performed to obtain the desired finish on the component. Wheel wear is one of the primary constraints in achieving the desired productivity in grinding.
Supriyo Mahata, Piyush Shakya, N. Babu
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy