In order to process the vagueness in vibration fault diagnosis of rolling bearing, a new correlation coefficient of simplified neutrosophic sets (SNSs) is proposed. Vibration signals of rolling bearings are acquired by an acceleration sensor, and a morphological filter is used to reduce the noise effect
For the quantitative fault diagnosis of rolling element bearings, a nonlinear vibration model for fa...
In condition based maintenance, different signal processing techniques are used to sense the faults ...
It is essential to have prior warning of incipient fault (s) in any critical equipment occurring ...
With the increase complexity of bearings’ processing algorithms and the growing trend of using compu...
Vibration signals generated from spalled elements in rolling element bearings (REBs) are investigate...
The condition of bearings, which are essential components in mechanisms, is crucial to safety. The a...
Hjorth's parameters are statistical time-domain parameters used in signal processing and introduced ...
Generalized roughness is the most common damage occurring to rolling bearing. It produces a frequenc...
In condition monitoring based on vibrations for rotating machines fault detection, one of the typica...
Generalized roughness is the most common damage occurring to rolling bearing. It produces a frequenc...
Feature extraction from vibration signal is still a challenge in the area of fault diagnosis and rem...
Bearing failures not only increase the cost due to production loss and need for repair or replacemen...
Nowadays, lots of data are generated in industries using vibration sensors to evaluate the equipment...
Ball bearings represent the most adopted solution to support rotating elements. Separated by the cag...
For the quantitative fault diagnosis of rolling element bearings, a nonlinear vibration model for fa...
For the quantitative fault diagnosis of rolling element bearings, a nonlinear vibration model for fa...
In condition based maintenance, different signal processing techniques are used to sense the faults ...
It is essential to have prior warning of incipient fault (s) in any critical equipment occurring ...
With the increase complexity of bearings’ processing algorithms and the growing trend of using compu...
Vibration signals generated from spalled elements in rolling element bearings (REBs) are investigate...
The condition of bearings, which are essential components in mechanisms, is crucial to safety. The a...
Hjorth's parameters are statistical time-domain parameters used in signal processing and introduced ...
Generalized roughness is the most common damage occurring to rolling bearing. It produces a frequenc...
In condition monitoring based on vibrations for rotating machines fault detection, one of the typica...
Generalized roughness is the most common damage occurring to rolling bearing. It produces a frequenc...
Feature extraction from vibration signal is still a challenge in the area of fault diagnosis and rem...
Bearing failures not only increase the cost due to production loss and need for repair or replacemen...
Nowadays, lots of data are generated in industries using vibration sensors to evaluate the equipment...
Ball bearings represent the most adopted solution to support rotating elements. Separated by the cag...
For the quantitative fault diagnosis of rolling element bearings, a nonlinear vibration model for fa...
For the quantitative fault diagnosis of rolling element bearings, a nonlinear vibration model for fa...
In condition based maintenance, different signal processing techniques are used to sense the faults ...
It is essential to have prior warning of incipient fault (s) in any critical equipment occurring ...
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