The traditional envelope analysis is an effective method for the fault detection of rolling
bearings. However, all the resonant frequency bands must be examined during the bearing …

A Fuzzy Cognitive Network (FCN) is an operational extension of a Fuzzy Cognitive Map
(FCM) which incorporates proven stability and guaranteed exponentially-fast error …

The study uses an experimental approach in contributing to advance vibration-based fault
identification (VFI) techniques for rotor and ball bearing in rotating machines using data …

Mostly the faults in electrical machines are related with the bearings. Thus, a reliable
bearing condition monitoring scheme able to detect either local or distributed defects are …

Bearing faults are the commonest form of malfunction associated with electrical machines.
So far, the research has been carried out mainly in the detection of localized faults, but the …

Many mechanical faults in industrial processes are related to bearing damage, which can be
detected by vibration analysis. This approach may be expensive due to the cost of sensors …

This paper is related to the current research project “AC Meter Duty Meter” run by The
University of Newcastle and ACARP 1. The main objective of the project is to develop an …

This article presents an Internet of Things (IoT) architecture suitable for large scale sensor
networks for condition monitoring. The developed technology has been applied and …

Many industrial applications concerning pattern recognition techniques often demand to
develop suited low cost embedded systems in charge of performing complex classification …

Περίληψη Οι Ασαφείς Γνωστικοί Χάρτες (ΑΓΧ) αναφέρονται ως δίκτυα συμπερασμάτων
βασισμένα στην ανθρώπινη γνώση, κυκλικά κατευθυνóμενα σταθμισμένα γραφήματα …