This paper focuses on the application of Kohonen self-organizing maps (SOM) and principal
component analysis (PCA) to thoroughly analyse and interpret multidimensional data from a …

The faults in switched reluctance motors (SRMs) were detected and diagnosed in real time
with the Kohonen neural network. When a fault happens, both financial losses and …

Low power hub motors are widely used in electromechanical systems such as electrical
bicycles and solar vehicles due to their robustness and compact structure. Such systems …

In this study, a complementary fuzzy-logic-based fault diagnosis system was developed to
diagnose the faults of an internal combustion engine (ICE) and the system incorporated with …

A new on-line fault detection and isolation (FDI) scheme proposed for engines using an
adaptive neural network classifier is evaluated for a wide range of operational modes to …

This thesis presents an account of investigations made into building bearing fault classifiers
for outer race faults (ORF), inner race faults (IRF), ball faults (BF) and no fault (NF) cases …

Bu çalışmada anahtarlamalı relüktans motoru (ARM) hatalarının yapay sinir ağları (YSA) ile
gerçek zamanlı olarak tespit ve teşhisi gerçekleştirilmiştir. ARM'ler günümüzde birçok kritik …

In this study, an algorithm for diagnosis of dc motor with winding open fault is suggested. A
dc motor used in this paper, is consisted of a permanent magnet field stator, double 16-turn …

As many systems depend on electronics, concern for fault tolerance is growing rapidly. For
example, a car with its steering controlled by electronics and no mechanical linkage from …

A new on-line fault detection and isolation (FDI) scheme has been proposed for engines
using an adaptive neural network classifier; this paper investigates the robustness of this …