A deep learning method for bearing fault diagnosis based on cyclic spectral coherence and convolutional neural networks
Accurate fault diagnosis is critical to ensure the safe and reliable operation of rotating
machinery. Data-driven fault diagnosis techniques based on Deep Learning (DL) have …
machinery. Data-driven fault diagnosis techniques based on Deep Learning (DL) have …
Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump
The natural intermittent impulses created by impeller in case of centrifugal pump, and
reciprocating motions of piston in case of axial pump exhibit strong cyclo-stationary …
reciprocating motions of piston in case of axial pump exhibit strong cyclo-stationary …
Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis
When an abnormal situation occurs in rotating machinery, fault feature information may be
scattered on multiple sensors, and fault feature extraction through a single sensor is not …
scattered on multiple sensors, and fault feature extraction through a single sensor is not …
Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating …
Demodulation methods are widely used for bearing diagnostics, based often on the
(Squared) Envelope Spectrum after band pass filtering. One of the main challenges of these …
(Squared) Envelope Spectrum after band pass filtering. One of the main challenges of these …
A simple and fast guideline for generating enhanced/squared envelope spectra from spectral coherence for bearing fault diagnosis
Rolling element bearings are widely used in machines to support rotating shafts and their
health conditions degrade over time due to harsh working conditions. Once a fault occurs on …
health conditions degrade over time due to harsh working conditions. Once a fault occurs on …
Cyclostationary-based multiband envelope spectra extraction for bearing diagnostics: The combined improved envelope spectrum
Bearing diagnostics is a field of intensive research, focusing nowadays mainly in
complicated machinery (eg planetary gearboxes, multi-stage gearboxes, etc.) operating …
complicated machinery (eg planetary gearboxes, multi-stage gearboxes, etc.) operating …
Multi-component fault diagnosis of wheelset-bearing using shift-invariant impulsive dictionary matching pursuit and sparrow search algorithm
Z **ng, C Yi, JH Lin, QY Zhou - Measurement, 2021 - Elsevier
Wheelset-bearing is an important part of the bogie for high-speed train. Fault diagnosis of
wheelset-bearing is of great significance for the safety of the railway service. In the diagnosis …
wheelset-bearing is of great significance for the safety of the railway service. In the diagnosis …
Optimal frequency band selection using blind and targeted features for spectral coherence-based bearing diagnostics: A comparative study
Identifying a spectral frequency band with abundant fault information from spectral
coherence is essential for improved envelope spectrum-based bearing diagnosis. Both blind …
coherence is essential for improved envelope spectrum-based bearing diagnosis. Both blind …
An informative frequency band identification framework for gearbox fault diagnosis under time-varying operating conditions
The application of informative frequency band identification methods makes it possible to
enhance weak damage components in the vibration signals acquired from rotating …
enhance weak damage components in the vibration signals acquired from rotating …
Optimized weights spectrum autocorrelation: A new and promising method for fault characteristic frequency identification for rotating machine fault diagnosis
Since fault characteristic frequencies (FCFs) and their harmonics are closely connected with
specific fault types of rotating machines, identification of FCFs and their harmonics is a very …
specific fault types of rotating machines, identification of FCFs and their harmonics is a very …