Add to ORKGFaulty rolling element bearings under very low shaft speed and light load exhibit vibrations which possess periodic envelope-autocorrelations. The main frequencies of this envelope-autocorrelation are the fault characteristic frequency and its harmonics. In this paper, one of the improved Notch Filtering Techniques with a designed filter is used to estimate the fault characteristic frequency and its harmonics. The designed filter is used to remove the estimated frequency. With this technique, the fault characteristic frequency and its harmonics can be accurately estimated
Bearing is a type of rolling element in which are vastly used in industry or even for home appliance...
There are always the nonlinear and non-stationary characteristics and periodic pulse in vibration si...
The analysis of vibration signals is major technique for condition monitoring of bearing in machine ...
Faulty rolling element bearings under very low shaft speed and light load exhibit vibrations which p...
In this paper, a general model of the signal from faulty rolling element bearings under the conditio...
Abstract This study is focused on the application of automated techniques on low-speed bearing diag...
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...
The condition of bearings, which are essential components in mechanisms, is crucial to safety. The a...
Rolling element bearings are one of the most significant elements and frequently-used components in ...
This paper investigates defect detection methodologies for rolling element bearings through vibratio...
The vibration signal obtained from operating machines contains information relating to machine condi...
This thesis proposes two techniques for the diagnosis of faults in rolling elementbearings. One of t...
A general model of faulty rolling element bearing vibration signals is established [ The e.cacy of t...
A method of combining autocorrelation function with cyclostationary theory and Hilbert envelope anal...
Bearing is a type of rolling element in which are vastly used in industry or even for home appliance...
There are always the nonlinear and non-stationary characteristics and periodic pulse in vibration si...
The analysis of vibration signals is major technique for condition monitoring of bearing in machine ...
Faulty rolling element bearings under very low shaft speed and light load exhibit vibrations which p...
In this paper, a general model of the signal from faulty rolling element bearings under the conditio...
Abstract This study is focused on the application of automated techniques on low-speed bearing diag...
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...
The condition of bearings, which are essential components in mechanisms, is crucial to safety. The a...
Rolling element bearings are one of the most significant elements and frequently-used components in ...
This paper investigates defect detection methodologies for rolling element bearings through vibratio...
The vibration signal obtained from operating machines contains information relating to machine condi...
This thesis proposes two techniques for the diagnosis of faults in rolling elementbearings. One of t...
A general model of faulty rolling element bearing vibration signals is established [ The e.cacy of t...
A method of combining autocorrelation function with cyclostationary theory and Hilbert envelope anal...
Bearing is a type of rolling element in which are vastly used in industry or even for home appliance...
There are always the nonlinear and non-stationary characteristics and periodic pulse in vibration si...
The analysis of vibration signals is major technique for condition monitoring of bearing in machine ...