Vibration analysis is essential in improving condition monitoring and fault diagnostics of
rotating machinery. Many signal analysis methods are able to extract useful information from …

Vibration analysis is a key element of predictive maintenance of rotating machines. Several
signal analysis methods are used to obtain useful information from vibration signatures. This …

As a significant role in industrial equipment, rotating machinery fault diagnosis (RMFD)
always draws lots of attention for guaranteeing product quality and improving economic …

The fault diagnosis of electrical machines is significant to reduce the costs of maintenance
through early detection of faults, which could be expensive to service. The idea of the …

This paper explores the application of wavelet analysis for the detection of early changes in
rotor dynamics caused by common machinery faults, namely, rotor unbalance and minor …

Condition monitoring and fault diagnosis of equipment and processes are of great concern
in industries. Early fault detection in machineries can save millions of dollars in emergency …

The continuous wavelet transform (CWT) is widely used for analyzing non-stationary
vibration signals from rotating machines. It is a well known fact that, if the shape of the …

This paper presents a new technique for monitoring the condition of rotating machinery from
vibration analyses. The proposed method combines the capability of wavelet transform (WT) …

In this paper, a condition monitoring and faults identification technique for rotating
machineries using wavelet transform and artificial neural network is described. Most of the …

As a significant role in industrial equipment, rotating machinery fault diagnosis (RMFD)
always draws lots of attention for guaranteeing product quality and improving economic …