Data-driven prognostic scheme for bearings based on a novel health indicator and gated recurrent unit network
The prognosis of bearings is vital for condition-based maintenance of rotating machinery.
This article proposes a systematic prognostic scheme for rolling element bearings. The …
This article proposes a systematic prognostic scheme for rolling element bearings. The …
Product envelope spectrum optimization-gram: An enhanced envelope analysis for rolling bearing fault diagnosis
The vibration signal of a faulty rolling bearing exhibits typical non-stationarity–often in the
form of cyclostationarity. The spectrum tools often used to characterize cyclostationarity …
form of cyclostationarity. The spectrum tools often used to characterize cyclostationarity …
[HTML][HTML] Why EMD and similar decompositions are of little benefit for bearing diagnostics
RB Randall, J Antoni - Mechanical Systems and Signal Processing, 2023 - Elsevier
Empirical mode decomposition (EMD) is a way of decomposing complex signals into a sum
of “mono-components”, ie intrinsic mode functions (IMFs), each of which can be considered …
of “mono-components”, ie intrinsic mode functions (IMFs), each of which can be considered …
Adaptive maximum second-order cyclostationarity blind deconvolution and its application for locomotive bearing fault diagnosis
B Zhang, Y Miao, J Lin, Y Yi - Mechanical Systems and Signal Processing, 2021 - Elsevier
Maximum second-order cyclostationarity blind deconvolution (CYCBD) outperforms other
deconvolution methods in retrieving the weak periodic impulses related to bearing incipient …
deconvolution methods in retrieving the weak periodic impulses related to bearing incipient …
IGIgram: An improved Gini index-based envelope analysis for rolling bearing fault diagnosis
The transient impulse features caused by rolling bearing faults are often present in the
resonance frequency band which is closely related to the dynamic characteristics of the …
resonance frequency band which is closely related to the dynamic characteristics of the …
Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution
Fatigue pitting and abrasive wear are the most common wear mechanisms in lubricated
gears, and they have different effects on the gear transmission system. To develop effective …
gears, and they have different effects on the gear transmission system. To develop effective …
A critical overview of the “Filterbank-Feature-Decision” methodology in machine condition monitoring
J Antoni - Acoustics Australia, 2021 - Springer
The number of research papers dealing with vibration-based condition monitoring has been
exponentially growing in recent decades. As a consequence, one may identify some trends …
exponentially growing in recent decades. As a consequence, one may identify some trends …
Traversal index enhanced-gram (TIEgram): A novel optimal demodulation frequency band selection method for rolling bearing fault diagnosis under non-stationary …
X Wang, J Zheng, Q Ni, H Pan, J Zhang - Mechanical Systems and Signal …, 2022 - Elsevier
It is very important to select the optimal demodulation frequency band (ODFB) of rolling
bearing vibration signals for the most valuable fault information extraction and diagnosis …
bearing vibration signals for the most valuable fault information extraction and diagnosis …
A novel correntropy-based band selection method for the fault diagnosis of bearings under fault-irrelevant impulsive and cyclostationary interferences
Demodulation analysis is one of the most effective methods for bearing fault diagnosis.
However, in practical applications, the interferences from ambient noises or other rotating …
However, in practical applications, the interferences from ambient noises or other rotating …
Weighted envelope spectrum based on the spectral coherence for bearing diagnosis
The key idea behind demodulation analysis for bearing diagnosis is to determine the fault-
induced frequency band and directly detect the potential bearing fault characteristic …
induced frequency band and directly detect the potential bearing fault characteristic …