Early fault detection and diagnosis plays an increasingly important role in various energy
systems where it is critical to avoid deteriorating condition, degraded efficiency and …

Fault diagnosis of bearings under localized defects is essential in the design of high
performance rotor bearing system. Traditionally, fault diagnosis of rolling element bearings …

Monitoring of incipient faults is vital for the safe and reliable operation of rolling element
bearings. In this paper, the combination of discrete wavelet transform and envelope analysis …

In this paper, fault diagnosis methodology is proposed for rolling element bearings, which
utilizes autocorrelation of raw vibration signals to reduce the dimension of vibration signals …

The packaging materials industry has already recognized the importance of Total Productive
Maintenance as a system of proactive techniques for improving equipment reliability …

Component failure analysis is sometimes difficult to directly detect due to the complexity of
an operating system configuration. Raw time series data is not enough in some cases to …

Diagnoses of bearing faults are important to avoid catastrophic failures in rotating machines.
This paper presents a methodology to detect various bearing faults from the measured …

The faults of rolling bearings can result in the deterioration of rotating machine operating
conditions, how to extract the fault feature parameters and identify the fault of the rolling …

In this paper, a new method was introduced for feature extraction and fault diagnosis in
bearings based on wavelet packet decomposition and analysis of the energy in different …

Vibration-based condition monitoring techniques are commonly used to detect and
diagnose failures of rolling bearings. Accuracy and delay in detecting and diagnosing …