This paper investigates the usage of permutation entropy for working status characterization
of rotary machines. As a statistical measure, the permutation entropy describes complexity of …

In the presence of faults, vibrations of rolling element bearings show symptomatic signatures
in the form of repetitive impulses. This can be seen as a non-stationary signal whose …

The development of monitoring systems for rotating machines is the ability to accurately
detect different faults in an incipient state. The most popular rotating machine in industry is …

Monitoring the condition of rotating machinery, especially planetary gearboxes, is a
challenging problem. In most of the available approaches, diagnostic procedures are related …

The technique of machinery fault diagnosis has been greatly enhanced over recent years
with the application of many pattern classification methods. However, these classification …

We studied the dynamic behavior of a ball bearing cage submersed in a cryogenic fluid and
rotating at high speed as a function of the mass imbalance of the cage under various …

This paper deals with the diagnostics of planetary gearboxes under nonstationary operating
conditions. In most diagnostics applications, energy of vibration signals (calculated directly …

The functional model–based method is a unique vibration-based approach to damage
localization and magnitude estimation in structures under normal operation, capable of …

Rotor cracking is a common fault in rotating machinery, that can often be detected based on
the vibrations of such machinery. Therefore, many vibration signal based techniques have …

Fault detection and classification is based on the idea that can detect changing conditions
within equipment. The techniques for detecting faults can be distinguished as a pattern …