A review of vibration-based gear wear monitoring and prediction techniques
Gearbox plays a vital role in a wide range of mechanical power transmission systems in
many industrial applications, including wind turbines, vehicles, mining and material handling …
many industrial applications, including wind turbines, vehicles, mining and material handling …
Physics-Informed Residual Network (PIResNet) for rolling element bearing fault diagnostics
Various deep learning methodologies have recently been developed for machine condition
monitoring recently, and they have achieved impressive success in bearing fault …
monitoring recently, and they have achieved impressive success in bearing fault …
A novel vibration-based prognostic scheme for gear health management in surface wear progression of the intelligent manufacturing system
Gearbox has a compact structure, a stable transmission capability, and high transmission
efficiency. Thus, it is widely applied and used as a critical transmission system in intelligent …
efficiency. Thus, it is widely applied and used as a critical transmission system in intelligent …
A fault information-guided variational mode decomposition (FIVMD) method for rolling element bearings diagnosis
Being an effective methodology to adaptatively decompose a multi-component signal into a
series of amplitude-modulated-frequency-modulated (AMFM) sub-signals with limited …
series of amplitude-modulated-frequency-modulated (AMFM) sub-signals with limited …
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 …
Practical framework of Gini index in the application of machinery fault feature extraction
Gini index (GI) is an outstanding sparsity index that has high robustness for the interference
of the random impulse noise. Yet, as a new index, the definition of GI in different domains is …
of the random impulse noise. Yet, as a new index, the definition of GI in different domains is …
A novel gear fatigue monitoring indicator and its application to remaining useful life prediction for spur gear in intelligent manufacturing systems
With the material degradation of gear over its service lifespan, the gearbox is prone to
fatigue, especially under harsh working environments. The interaction between gear fatigue …
fatigue, especially under harsh working environments. The interaction between gear fatigue …
Dynamic model-assisted bearing remaining useful life prediction using the cross-domain transformer network
Remaining useful life (RUL) prediction of rolling bearings is of paramount importance to
various industrial applications. Recently, intelligent data-driven RUL prediction methods …
various industrial applications. Recently, intelligent data-driven RUL prediction methods …
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 …
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 …