Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previously analyzed and reported in the statistical, medical, or machine learning literature. The data sets are characterized by statisucal uncertainty; there is no completely accurate solution to these problems. Training and ...

A bearingless induction machine has combined characteristics of induction motor and magnetic bearings. Therefore, the advantages are small size and low-cost. In the magnetic suspension of the bearingless motors, suspension forces are generated based on the feedback signals of displacement sensors detecting the movement of the rotor shaft. The suspension forces are generated taking an advantage ...

The main topic of this paper is to examine the impact on induction machine magnetic noise of a new stator magnetic circuit design. This new design was developed in order to increase AC machine energetic performance by assembling non-segmented shifted grainoriented steel sheets which make it possible to reduce iron losses. Experimental results on induction machine efficiency increase are present...

Induction motors are widely used in transportation, mining, petrochemical, manufacturing and in almost every other field dealing with electrical power. These motors are simple, efficient, highly robust and rugged thus offering a very high degree of reliability. But like any other machine, they are vulnerable to faults, which if left unmonitored, might lead to catastrophic failure of the machine...

Traditional Statistical Machine Translation (SMT) systems heuristically extract synchronous structures from word alignments, while synchronous grammar induction provides better solutions that can discard heuristic method and directly obtain statistically sound bilingual synchronous structures. This paper proposes Synchronous Constituent Context Model (SCCM) for synchronous grammar induction. Th...

In this paper a new method for the detection of broken rotor bars in induction machines is introduced. The startup transient current of an induction machine is used as the medium for diagnoses. The fundamental component is extracted using an algorithm that predicts the instantaneous amplitude and frequency during startup. The residual current is then analyzed using wavelets and a comparison is ...

Condition monitoring is an important issue in the maintenance of electrical machines. In the last years several methods for fault diagnosis of the squirrel-cage induction motors were cited in the literature. Among these methods the Motor Current Signature Analysis (MCSA) is considered the most effective non-invasive fault detection method, because it can easily detect all the common electrical ...