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A review on empirical mode decomposition in fault diagnosis of rotating machinery
Rotating machinery covers a broad range of mechanical equipment and plays a significant
role in industrial applications. It generally operates under tough working environment and is …
role in industrial applications. It generally operates under tough working environment and is …
Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples
Nonstationary signal analysis is one of the main topics in the field of machinery fault
diagnosis. Time–frequency analysis can identify the signal frequency components, reveals …
diagnosis. Time–frequency analysis can identify the signal frequency components, reveals …
A review of online condition monitoring and maintenance strategy for cylinder liner-piston rings of diesel engines
X Rao, C Sheng, Z Guo, C Yuan - Mechanical Systems and Signal …, 2022 - Elsevier
As vital components of diesel engines, failure issues of cylinder liner-piston ring components
(CLPRs), which work under harsh conditions of high temperature, high pressure, and heavy …
(CLPRs), which work under harsh conditions of high temperature, high pressure, and heavy …
Vibro-acoustic condition monitoring of Internal Combustion Engines: A critical review of existing techniques
S Delvecchio, P Bonfiglio, F Pompoli - Mechanical Systems and Signal …, 2018 - Elsevier
This paper deals with the state-of-the-art strategies and techniques based on vibro-acoustic
signals that can monitor and diagnose malfunctions in Internal Combustion Engines (ICEs) …
signals that can monitor and diagnose malfunctions in Internal Combustion Engines (ICEs) …
Fault diagnosis of rotating machinery using an improved HHT based on EEMD and sensitive IMFs
Abstract A Hilbert–Huang transform (HHT) is a time–frequency technique and has been
widely applied to analyzing vibration signals in the field of fault diagnosis of rotating …
widely applied to analyzing vibration signals in the field of fault diagnosis of rotating …
Beam damage detection using synchronisation of peaks in instantaneous frequency and amplitude of vibration data
This paper explores the advantages of Variational Mode Decomposition (VMD) in detecting
local damage on beam type structures (bridge) subjected to a sprung mass (vehicle). VMD is …
local damage on beam type structures (bridge) subjected to a sprung mass (vehicle). VMD is …
End-effects mitigation in empirical mode decomposition using a new correlation-based expansion model
The real-time analysis of time-varying data has become extremely significant in mechanical
systems. The Hilbert–Huang transform (HHT) is a recent development in signal processing …
systems. The Hilbert–Huang transform (HHT) is a recent development in signal processing …
Superiorities of variational mode decomposition over empirical mode decomposition particularly in time–frequency feature extraction and wind turbine condition …
Due to constantly varying wind speed, wind turbine (WT) components often operate at
variable speeds in order to capture more energy from wind. As a consequence, WT …
variable speeds in order to capture more energy from wind. As a consequence, WT …
EMD-based fault diagnosis for abnormal clearance between contacting components in a diesel engine
Y Li, WT Peter, X Yang, J Yang - Mechanical Systems and Signal …, 2010 - Elsevier
The accuracy of fault diagnostic systems for diesel engine-type generators relies on a
comparison of the currently extracted sensory features with those captured during normal …
comparison of the currently extracted sensory features with those captured during normal …
Novel Fourier quadrature transforms and analytic signal representations for nonlinear and non-stationary time-series analysis
P Singh - Royal Society open science, 2018 - royalsocietypublishing.org
The Hilbert transform (HT) and associated Gabor analytic signal (GAS) representation are
well known and widely used mathematical formulations for modelling and analysis of signals …
well known and widely used mathematical formulations for modelling and analysis of signals …