Y Li, X Zhang, Z Chen, Y Yang, C Geng… - Mechanical Systems and …, 2023 - Elsevier
For a rotary machine vibration signal collected under variable speed conditions, its time– frequency representation (TFR) contains abundant oscillatory components with time-varying …
J Liu - Journal of Sound and Vibration, 2020 - Elsevier
Rotor-roller bearing-housing systems (RBHSs) are widely utilized in many industrial machinery, such as aero-engines, high speed trains, wind turbine, etc. A clearly …
In this work, genetic algorithm (GA), kernel based mutual information (KEMI) fitness function and variational mode decomposition (VMD) based strategy is proposed for the purpose of …
G Manhertz, A Bereczky - Mechanical Systems and Signal Processing, 2021 - Elsevier
The main purpose of this paper is to represent a methodenabling vibration components to be extracted from a high-resolution Short-Time Fourier-Transformation (STFT) based …
Y Li, Y Yang, K Feng, MJ Zuo… - IEEE/ASME Transactions …, 2023 - ieeexplore.ieee.org
A ridge in a time-frequency graph (TFG) describes the relationship of a signal component's instantaneous frequencies over time. Accurate ridge extraction from TFGs is beneficial for …
D Zhao, J Li, W Cheng, W Wen - ISA transactions, 2023 - Elsevier
The rotational frequency (RF) is an important information for multi-fault features detection of rolling bearing under varying speed conditions. In the traditional methods, such as the …
D Zhao, L Cui, D Liu - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
Bearing weak fault feature extraction under time-varying speed conditions is a challenging task. The classic time-frequency analysis (TFA) based ridge detection algorithms cannot …
Under normal operating conditions, bearings often run under time-varying rotational speed conditions. Under such circumstances, the bearing vibrational signal is non-stationary …