Teager–Kaiser energy methods for signal and image analysis: A review

AO Boudraa, F Salzenstein - Digital Signal Processing, 2018 - Elsevier
This paper provides a review of the Teager–Kaiser (TK) energy operator and its extensions
for signals and images processing. This class of operators possesses simplicity and good …

Time–frequency analysis based on Vold-Kalman filter and higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary …

Z Feng, S Qin, M Liang - Renewable Energy, 2016 - Elsevier
Planetary gearbox fault diagnosis under nonstationary conditions is important for many
engineering applications in general and for wind turbines in particular because of their time …

[HTML][HTML] Model-free inertia estimation in bulk power grids through O-splines

D Rodales, A Zamora-Mendez, JA de la O Serna… - International Journal of …, 2023 - Elsevier
This paper proposes a novel methodology to precisely estimate the generation units' inertia
constant by using the wide-area monitoring systems (WAMS) information of bulk power …

Application of the Combined Teager-Kaiser Envelope for bearing fault diagnosis

A Gałęzia, K Gryllias - Measurement, 2021 - Elsevier
Rolling element bearings are among the most important components of rotating machinery,
being the interface between the stationary and the rotating parts. Bearing failures might …

Induction motor broken rotor bar fault diagnosis based on third-order energy operator demodulated current signal

W Wang, X Song, G Liu, Q Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Motor current signature analysis (MCSA) has been widely used for fault diagnosis of
induction motors (IMs) because of its non-invasiveness and comparatively low cost …

Improving EMG signal change point detection for low SNR by using extended Teager-Kaiser energy operator

A Tigrini, A Mengarelli, S Cardarelli… - … on Medical Robotics …, 2020 - ieeexplore.ieee.org
Muscle onset detection plays a key role in applications ranging from clinical to assistive
technology. The Teager-Kaiser energy operator (TKEO) is an acknowledged tool used in …

ECG beat classification using features extracted from Teager energy functions in time and frequency domains

C Kamath - IET signal processing, 2011 - IET
It is hypothesised that a key characteristic of ECG signal is its non-linear dynamic behaviour
and that the non-linear component changes more significantly between normal and …

Falling-edge, variable threshold (FEVT) method for the automated detection of gastric slow wave events in high-resolution serosal electrode recordings

JC Erickson, G O'Grady, P Du, C Obioha… - Annals of biomedical …, 2010 - Springer
High resolution (HR) multi-electrode mapping is increasingly being used to evaluate
gastrointestinal slow wave behaviors. To create the HR activation time (AT) maps from …

Comparison of different algorithms based on TKEO for EMG change point detection

S Wang, S Zhu, Z Shang - Physiological Measurement, 2022 - iopscience.iop.org
Objective. A significant challenge in surface electromyography (EMG) is the accurate
identification of onset and offset of muscle activation while maintaining high real-time …

A comparison of the squared energy and Teager-Kaiser operators for short-term energy estimation in additive noise

D Dimitriadis, A Potamianos… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Time-frequency distributions that evaluate the signal's energy content both in the time and
frequency domains are indispensable signal processing tools, especially, for nonstationary …