Detection of bearing faults in mechanical systems using stator current monitoring
Induction motors have been responsible for running mechanical systems in the industry for
many decades. Their diagnosis still remains a hot quest for the researchers using various …
many decades. Their diagnosis still remains a hot quest for the researchers using various …
Tool wear predictive model based on least squares support vector machines
D Shi, NN Gindy - Mechanical systems and signal processing, 2007 - Elsevier
The development of tool wear monitoring system for machining processes has been well
recognised in industry due to the ever-increased demand for product quality and productivity …
recognised in industry due to the ever-increased demand for product quality and productivity …
OrbitNet: A new CNN model for automatic fault diagnostics of turbomachines
X Jiang, S Yang, F Wang, S Xu, X Wang… - Applied Soft Computing, 2021 - Elsevier
Unplanned outage due to faults in a high-fidelity turbomachine such as steam turbine and
centrifugal compressor often results in the reduced reliability and productivity of a factory …
centrifugal compressor often results in the reduced reliability and productivity of a factory …
Rotating machinery diagnostics using deep learning on orbit plot images
Although the orbit analysis (orbit shape and size) is commonly used to diagnose rotating
machinery, the diagnosis heavily depends on the expert knowledge or experience due to …
machinery, the diagnosis heavily depends on the expert knowledge or experience due to …
Dynamic behaviours of a full floating ring bearing supported turbocharger rotor with engine excitation
L Tian, WJ Wang, ZJ Peng - Journal of Sound and Vibration, 2011 - Elsevier
The rotor dynamic behaviour of turbochargers (TC) has been paid significant attention
because of its importance in their healthy operation. Commonly, the TC is firmly mounted on …
because of its importance in their healthy operation. Commonly, the TC is firmly mounted on …
Multi-branch convolutional neural network with generalized shaft orbit for fault diagnosis of active magnetic bearing-rotor system
Fault diagnosis based on vibration signals in active magnetic bearing-rotor systems is an
important research topic. However, it is difficult to obtain discriminative features to represent …
important research topic. However, it is difficult to obtain discriminative features to represent …
Rotor unbalance fault diagnosis using DBN based on multi-source heterogeneous information fusion
J Yan, Y Hu, C Guo - Procedia Manufacturing, 2019 - Elsevier
In the age of Internet of Things and Industrial 4.0, new advanced methods need to be
proposed to analyse massive multi-source heterogeneous data from rotating machinery …
proposed to analyse massive multi-source heterogeneous data from rotating machinery …
An orbit-based encoder–forecaster deep learning method for condition monitoring of large turbomachines
Most data-driven methods used in condition monitoring and early faults alarming of large
turbomachines need to manually extract features for modeling, which inevitably introduces …
turbomachines need to manually extract features for modeling, which inevitably introduces …
Empirical mode decomposition, an adaptive approach for interpreting shaft vibratory signals of large rotating machinery
The Fourier transform (FT) has been the most popular method for analyzing large rotating
machine shaft vibration problems, but it assumes that these vibration signals are linear and …
machine shaft vibration problems, but it assumes that these vibration signals are linear and …
Sensorless speed measurement of induction motor using Hilbert transform and interpolated fast Fourier transform
A new scheme based on the Hilbert transform and the interpolated fast Fourier transform
(IFFT) is proposed to improve the estimation accuracy of induction motor speed from motor …
(IFFT) is proposed to improve the estimation accuracy of induction motor speed from motor …