Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals
Vibration measurement and monitoring are essential in a wide variety of applications.
Vibration measurements are critical for diagnosing industrial machinery malfunctions …
Vibration measurements are critical for diagnosing industrial machinery malfunctions …
Use of vibration signal to estimate instantaneous angular frequency under strong nonstationary regimes
Instantaneous angular frequency (IAF) is an inherent characteristic associated with
mechanical dynamics and contains adequate diagnostic information about rotating …
mechanical dynamics and contains adequate diagnostic information about rotating …
Component level signal segmentation method for multi-component fault detection in a wind turbine gearbox
Condition monitoring of a modern wind turbine gearbox is quite challenging as it comes with
multiple stages which operate at different frequencies. A gearbox is made up of multiple …
multiple stages which operate at different frequencies. A gearbox is made up of multiple …
LSTM-Based Condition Monitoring and Fault Prognostics of Rolling Element Bearings Using Raw Vibrational Data
The 4.0 industry revolution and the prevailing technological advancements have made
industrial units more intricate. These complex electro-mechanical units now aim to improve …
industrial units more intricate. These complex electro-mechanical units now aim to improve …
Vibration-based rotation speed estimation for Industrial IoT
E Gildish, M Grebshtein, I Makienko - Internet of Things, 2024 - Elsevier
Abstract The Industrial Internet of Things (IIoT) uses wireless vibration sensors to predict
machine health. In many cases, communication bandwidth and sensor processing …
machine health. In many cases, communication bandwidth and sensor processing …
Adaptive extraction of characteristic ridges from time-frequency representation for wheelset bearings failure diagnosis under time-varying speed
X He, J Ding, X Wang, Q Zhang, W Zhao, K Wang - Measurement, 2025 - Elsevier
Instantaneous frequencies-based order tracking is an excellent approach for bearing faults
diagnosing at time-varying speeds. The key is to extract ridges from time-frequency …
diagnosing at time-varying speeds. The key is to extract ridges from time-frequency …
A deep bi-directional long short-term memory model for automatic rotating speed extraction from raw vibration signals
The rotating speed information is significant for condition-based monitoring of rotating
machines which are often operated under varying speed conditions. To automatically extract …
machines which are often operated under varying speed conditions. To automatically extract …
A fast method for robust estimation of gearbox instantaneous speed
C Yang, H Li, S Cao, K Zhang, W Xiang - Mechanical Systems and Signal …, 2024 - Elsevier
Under non-stationary condition, estimating the instantaneous frequency (IF) of shaft from
vibration signal is an ideal way for gearbox fault monitoring without tachometer. Among …
vibration signal is an ideal way for gearbox fault monitoring without tachometer. Among …
Vibration-based diagnostics of epicyclic gearboxes–From classical to soft-computing methods
The paper presents up-to-date multidisciplinary review of scientific knowledge and industrial
guidelines concerning the issue of technical assessment of epicyclic gearboxes on the basis …
guidelines concerning the issue of technical assessment of epicyclic gearboxes on the basis …
Hybrid model of rolling-element bearing vibration signal
A Jablonski - Energies, 2022 - mdpi.com
The generation of synthetic vibration signals enables the testing of novel machine diagnostic
methods without the costly introduction of real failures. One of major goals of vibration-based …
methods without the costly introduction of real failures. One of major goals of vibration-based …