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This study presents an analytical and experimental method for detecting internal turn-to-turn short circuits both in the rotor or in the stator in Salient-pole Synchronous Generator Machines (SSGM) connected to local power grid. Two main measurements are proposed to confirm or discard these electric faults: External Magnetic Flux Density (EMFD) and External Housing Vibrations (EHV). In the event of...
Modeling and fault diagnosis of induction motor are main objective of this paper. This paper focused on the motor current signature analysis (MCSA) which utilizes the results of spectral analysis of the stator current. FFT is used for spectrum analysis and frequency of stator current observed for healthy and faulty induction motor. With the help of Matlab Simulink, KQJJ-IMFD model is developed for...
In this paper, the performance study of the vector control method applied to a three phase squirrel cage induction motor with rotor broken bars faults as well as with both faults simultaneously is being presented. The fault diagnosis technique used in this work is based on the spectral analysis of electrical and mechanical quantities such as currents (id, iq), speed error (ew), direct current error...
Through the analysis of the electromagnetic properties for the rotor coil of turbine generator, we obtained the main magnetic field variation characteristics for the rotor winding and put forward the short circuit fault between rotor inter-turns causing the potential difference and circulation between the parallel branches of generation stator winding spectral method was applied on the spectrum analysis...
The aim of this paper is to develop a technique for detecting an inter-turn short-circuit in a wound rotor induction machine working as generator by using the bispectral analysis. Bispectral analysis is able to provide more information than power spectrum analysis. In the present investigation, the rotor and stator currents of the machine operating in both healthy and faulty modes are thoroughly analyzed...
It is well known that stator winding faults such the inter-turn short circuit are the most frequent source of breakdowns in induction motors. Early detection of any small inter-turn short circuit during motor operation would eliminate some subsequent damage to adjacent coils and stator core, reducing then the repair cost. To achieve this purpose, the present paper proposes a new method, called Park-Hilbert...
This paper deals with monitoring condition of electrical failures in variable speed of permanent magnet synchronous motor (PMSM) drives by stator current signature analysis. The objective of this study is to develop a detection method for the open phase fault in PMSM drives. The main idea consists in minimizing the number of sensors allowing the open stator phase fault of the system to study. The...
This paper shows a new signature for detection of rotor bar faults in induction motors trough external magnetic field analysis. The proposed method is based on the variations of the axial flux density in the presence of rotor faults, particularly regarding the low frequency part of the frequency spectrum. The analysis of the external magnetic field variation in low frequency is realized through a...
The aim of this paper is to develop a technique for detecting a real rotor inter-turn short-circuit fault in a wound rotor induction machine working as generator by using the spectral and the bispectral analysis. The stator currents provide interesting signatures since the rotor inter-turn short-circuit fault introduces new harmonics in the stator windings. Hence, in this paper, it is proved that...
The paper describes a system for automated detection of incipient faults in induction machines. The system has been based on the Motor Current Signature Analysis method (MCSA) and aimed to be applied in a thermal electric power plant in south Brazil. First, the mechanism of fault evolution is introduced and clarified regarding the most common induction motor faults: stator winding short-circuits,...
Due to its simple construction, low cost, manufacture, and its robustness. The use of induction motors is rapidly and increasingly growing in the industry especially in highly important sectors. This leads us to a serious focus on their operation and their availability. The early detection for motor deterioration can increase plant availability and safety in economical way, help to avoid expensive...
Nowadays, the induction motor is an important element in industrial process in terms of safety and efficiency. In order to limit the cost induced by a defect, we have to make an early detection. Consequently, the earlier incipient faults will be detected the cheaper remediable faults will be. So, one of the widespread method to monitor the process is the spectral analysis of the stator current. Usually,...
In this work we present a new techniques to detect a mechanical faults in asynchronous machines by exploiting the instantaneous frequencies estimated starting from an accelerometer sensor, optical encoder and stator current. Bearing damages cause a torque oscillations as well as a disturbance in the velocity signal which can be detected by a mechanical measurements. These fluctuations will be reflected...
The rapid growth of the signal processing theory resulted in the rise of new methods in diagnostics of the drives. This paper focuses on the application of the complete systems of orthogonal functions, for which fast computational procedures are applicable. It is shown that a spectral analysis employing bases of the Haar functions is highly suitable for both analysis and synthesis of the diagnostic...
In a companion paper (Part I) the bar breakages for a 1.13 MW induction motor used in high speed railway traction drives were studied, by simulating the whole system (converter + motor) and by analyzing frequencies and amplitudes of current sidebands, for various loads (both active and inertial) and with increasing fault severity. It was recognized that faults can be characterized by (1-2s)f sideband,...
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