In modern industry, the quality of maintenance directly influences equipment's operational
uptime and efficiency. Hence, based on monitoring the condition of the machinery, predictive …

Condition monitoring of induction motors (IM) among with the predictive maintenance
concept are currently among the most promising research topics of manufacturing industry …

Most manufactured electrical cables suffer from reductions in their physical, mechanical and
electrical properties. These setbacks are mainly attributed to the improper control of wire …

This paper presents a novel prediction of fault location during copper wire manufacturing
using a hybrid Nonlinear Autoregression Neural Network (NARNN) and Markov chain …

In general, the industries utilize more rotating machines and the efficient functioning of these
machines is vital for the smooth operation of industrial processes. Further, the detection and …

This paper uses the Kohonen Self-Organising Map (KSOM) to detect, diagnose, and classify
induction motor faults. A series of simulations using models of the 3-phase induction motor …

Asynchronous machine (AM) failures are mainly caused by stator windings (SW); practically,
all methods for identifying these faults have relied on cost. Early fault diagnosis employing …

In modern industry, the quality of maintenance efforts directly influence equipment's
operational uptime and efficiency. Condition monitoring is a common process employed for …

Fuzzy logic systems are intelligent systems applied in equipment condition monitoring.
Fuzzy logic systems are well known for their ability to deal with data complexity for better …

Endüstride çalışan sistemlerin en yüksek başarım ve süreklilik önceliği ile çalışması
beklenir. Çalışan sistemi oluşturan bütünün, parçalarında oluşabilecek arızalar üretim …