Tacholess speed estimation in order tracking: A review with application to rotating machine fault diagnosis
Order tracking (OT), which is realized by signal sampling in equal-angle increment
according to the measured rotating speed, is a powerful technique for rotating machine fault …
according to the measured rotating speed, is a powerful technique for rotating machine fault …
Rotating machinery fault diagnosis under time-varying speeds: A review
D Liu, L Cui, H Wang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Rotating machinery often works under time-varying speeds, and nonstationary conditions
and harsh environments make its key parts, such as rolling bearings and gears, prone to …
and harsh environments make its key parts, such as rolling bearings and gears, prone to …
Deep domain generalization combining a priori diagnosis knowledge toward cross-domain fault diagnosis of rolling bearing
H Zheng, Y Yang, J Yin, Y Li, R Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recent works suggest that using knowledge transfer strategies to tackle cross-domain
diagnosis problems is promising for achieving engineering diagnosis. This article presents a …
diagnosis problems is promising for achieving engineering diagnosis. This article presents a …
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 …
Interpretable online updated weights: Optimized square envelope spectrum for machine condition monitoring and fault diagnosis
Bearings are key components of rotating machines, and their condition monitoring and fault
diagnosis have received much attention from academia and industry in recent years …
diagnosis have received much attention from academia and industry in recent years …
A simple data augmentation algorithm and a self-adaptive convolutional architecture for few-shot fault diagnosis under different working conditions
T Hu, T Tang, R Lin, M Chen, S Han, J Wu - Measurement, 2020 - Elsevier
In the era of big data, various data-driven fault diagnosis algorithms, which are mainly based
on traditional machine learning and deep learning, have been developed and successfully …
on traditional machine learning and deep learning, have been developed and successfully …
A new procedure for using envelope analysis for rolling element bearing diagnostics in variable operating conditions
In the field of rolling element bearing diagnostics envelope analysis, and in particular the
squared envelope spectrum, have gained in the last years a leading role among the different …
squared envelope spectrum, have gained in the last years a leading role among the different …
Rolling element bearing fault diagnosis via fault characteristic order (FCO) analysis
Order tracking based on time–frequency representation (TFR) is one of the most effective
methods for gear fault detection under time-varying rotational speed without using a …
methods for gear fault detection under time-varying rotational speed without using a …
Review and comparison of tacholess instantaneous speed estimation methods on experimental vibration data
Instantaneous speed estimation has become a key part of many condition monitoring
procedures for rotating machinery. The ability to track the rotational speed of a system is a …
procedures for rotating machinery. The ability to track the rotational speed of a system is a …
Current-aided order tracking of vibration signals for bearing fault diagnosis of direct-drive wind turbines
Vibration monitoring is one of the most popular, effective, and reliable methods for bearing
fault diagnosis. A key issue in the vibration monitoring for the bearings used in variable …
fault diagnosis. A key issue in the vibration monitoring for the bearings used in variable …