Conditional feature disentanglement learning for anomaly detection in machines operating under time-varying conditions
Anomaly detection (AD) is an important task of machines' condition monitoring (CM). Data-
driven policies can be used in a more intelligent way to achieve anomaly detection and …
driven policies can be used in a more intelligent way to achieve anomaly detection and …
Hybrid system response model for condition monitoring of bearings under time-varying operating conditions
Condition monitoring (CM) plays a vital role in machine maintenance for ensuring the
system's operating reliability and safety as fault detection and health degradation …
system's operating reliability and safety as fault detection and health degradation …
Adaptive variational mode extraction method for bearing fault diagnosis based on window fusion
C Liu, J Tan, Z Huang - Measurement, 2022 - Elsevier
Fault-related mode extraction and demodulation has become one of the most important and
mature strategies to detect bearings fault. Variational mode extraction (VME) can extract a …
mature strategies to detect bearings fault. Variational mode extraction (VME) can extract a …
[HTML][HTML] Identification of fault frequency variation in the envelope spectrum in the vibration-based local damage detection in possible changing load/speed conditions
The problem of local damage diagnosis (based on the detection of impulsive and periodic
signals) is discussed. Both features should be checked, as fault frequency must be linked to …
signals) is discussed. Both features should be checked, as fault frequency must be linked to …
Fault diagnosis of rolling element bearings based on adaptive mode extraction
C Liu, J Tan, Z Huang - Machines, 2022 - mdpi.com
Generally speaking, vibration signals collected by sensors always contain complex
frequency components, which will bring great trouble to bearing condition monitoring and …
frequency components, which will bring great trouble to bearing condition monitoring and …
Identification of fault frequency variation in the envelope spectrum in the vibration-based local damage detection in possible changing load/speed conditions
The problem of local damage diagnosis (based on the detection of impulsive and periodic
signals) is discussed. Both features should be checked, as fault frequency must be linked to …
signals) is discussed. Both features should be checked, as fault frequency must be linked to …
The loose slipper fault diagnosis of variable-displacement pumps under time-varying operating conditions
Variable-displacement pumps (VDPs) are widely used as core power components of high-
pressure hydraulic systems due to their superior power density. The loose slipper fault is a …
pressure hydraulic systems due to their superior power density. The loose slipper fault is a …
Early Fault Detection of Rolling Bearings Based on Time-Varying Filtering Empirical Mode Decomposition and Adaptive Multipoint Optimal Minimum Entropy …
S Song, W Wang - Entropy, 2023 - mdpi.com
Due to the early formation of rolling bearing fault characteristics in an environment with
strong background noise, the single use of the time-varying filtering empirical mode …
strong background noise, the single use of the time-varying filtering empirical mode …
A light intelligent diagnosis model based on improved Online Dictionary Learning sample-making and simplified convolutional neural network
P Wang, L Song, Y Hao, H Wang, S Li, L Cui - Measurement, 2021 - Elsevier
Accurately, apace and intelligently identifying the diverse faults of rotating machines is of
great significance. However, high diagnostic accuracy is usually accompanied by lower …
great significance. However, high diagnostic accuracy is usually accompanied by lower …
RF-Vsensing: RFID-based Single Tag Contactless Vibration Sensing and Recognition
With the rapid development of industry, vibration equipment has become one of the most
widely used components for industrial systems. Utilizing vibration sensing and recognition is …
widely used components for industrial systems. Utilizing vibration sensing and recognition is …