The Goss texture is a characteristic feature of grain-oriented transformer steel sheets. Generator sheets, which are produced as non-oriented steel sheets, should have isotropic features. However, measurement results of generator sheets, confirmed by crystallographic studies, indicate that these sheets are characterized by certain, quite significant anisotropy. The first purpose of this paper is to present the influence of textures of generator and transformer steel sheets on their magnetization characteristics. The second aim is to propose a method which takes into account the sheet textures in the calculations of magnetization curves. In calculations of magnetization processes in electrical steel sheets, models in which the plane of a sheet sample is divided into an assumed number of specified directions are used. To each direction a certain hysteresis loop, the so-called direction hysteresis, is assigned. The parameters of these direction hystereses depend, among other things, on the texture type in these steel sheets. This paper discusses the method which calculates the parameters of these direction hystereses taking into account the given sheet texture. The proposed method gives a possibility of determining the magnetization characteristics for any direction of the field intensity changes.

Accurate fault diagnosis systems should consider both the historical performance and the assessment of the current state of a machine. Manufacturing, installation, operation and maintenance are part of the machine's history and should be taken into account. The paper focuses on experimental procedures to develop a multi-criteria methodology to classify up to ten machine conditions. Using machine learning for signal processing techniques, any deviation from a normal steady state might be categorized as an abnormal behavior and, when demonstrated, a fault. To take advantage of machine learning algorithms, a significant amount of data is needed. To demonstrate the procedure the authors examined a synchronous machine. The authors recorded currents and voltages primarily, in stator and rotor winding, well as rotational speed and electromechanical torque. The collected signals were filtered and pre-processed, and to 5038 features were calculated and transformed into a tidy dataset. The sparse Linear Discriminant Analysis algorithm was used to extract the most important defined features. The results are shown in 3D scatter plots; in which each machine condition is represented. It is then possible to visualize the ability of the model to identify the most discriminant features. The same method can be used for the diagnostic of other types of machine conditions.

Magnetic measurements, carried out by means of the Epstein frame, have shown that most typical dynamo steel sheets have certain anisotropic properties. In numerical analysis, anisotropic properties are taken into account with the use of the special function of the grain distribution in the given dynamo sheet. For engineering purposes, it is desirable to assess the influence of these properties on the changes of the magnetic flux density in typical dynamo steel sheets, especially during the rotational magnetization. For this purpose, measurements of the flux density changes and field strength changes in the circular-shaped samples of two selected typical dynamo sheets were performed. These measurements were carried out for several values of the current flowing in windings which generated the axial or rotational magnetic field in the test dynamo sheet. The influence of the magnetic anisotropy on the magnetization process was briefly discussed for both types of the magnetization processes

In this paper, we present a concept of a diagnostic system, the so called ldquodistributed system for induction motors diagnosticsrdquo. developed at our university. A system, which will be installed in one of the Polish power plants. We propose a tele-diagnostics system (IDS) supporting diagnostic services (DS) located in a specialized diagnostic center (SDC). As for data transmission, the Internet and the Ethernet networks are used as inexpensive links, as it is more cost efficient to provide a remote the maintenance of the DS. In this context, a tele-measuring system (TMS) has been used and connected with a complex noninvasive diagnostic platform.