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In condition monitoring of electrical machines, wireless sensors enables access to internal signals that are relatively unexplored compared to the conventional external measurements. This paper demonstrates the application of wireless sensor to measure the rotor field winding current in a Brushless Synchronous Generator and compare the fault detection capability with the stator exciter field current...
The aim of the present paper is to diagnose the mechanical faults in induction motors. We have chosen this part in order to contribute to the diagnosis of electrical machines. The raising of stator current allows detecting the fatigue of the machine failure. The manner of the treatment decides the efficiency of the applied technique. We have examined the static eccentricity fault by a vibration signal...
This paper presents a new precise vision to diagnose the eccentricity fault using the motor current signature analysis technique (MCSA). The MCSA method was based on analyzing the FFT of the stator current. But, it has many disadvantages, as operating regimes (non-stationary) or his suffering to distingue the characteristic frequencies of several faults such as short circuit, eccentricity, broken...
The present paper presents the fault detection of eccentricity using a new qualitative (and quantitative) analysis which based on discrete wavelet transform (DWT) technique. DWT method was based on analyzing the stator current. DWT coefficients of the stator current in a particular frequency band are calculated and analyzed. We used the wavelet mother of Daubechies to analyze the stator current under...
This work is part of the monitoring and diagnosis of defects of the squirrel cage asynchronous machine, in particular the defect of rotor bar breaks. The design of a system for monitoring, detecting and locating faults from births for different loads of the machine is achieved by the use of advanced intelligent techniques based on neural networks; ANFIS-based neuro-fuzzy network whose knowledge base...
Aim to the problem of engine fault diagnostic accuracy, research an engine fault diagnosis technologies based on adaptive neuro-fuzzy inference system. The method is proposed that using known input and output data, construct a fuzzy inference system, internal systems adjust the membership function using a least squares method based on hybrid learning algorithm and reverse the spread of the combination...
For the widely-adopted inverter-fed drives, the stator winding insulation is more prone to various stresses compared to the line-start machines, i.e. the high rates of voltage change due to inverter switching (dv/dt), which will result in higher chances of insulation breakdown. To better illustrate the dynamic behaviors of the IPM machines under the stator turn fault, this paper presents a transient...
With the increasing capacity of wind farms, the system stability problems caused by output loss of large-scale wind farms become the focus. In fact, the reality indicates that the reclosing failures take place frequently after the wind farms' outgoing circuit faults. Meanwhile, even reclosing the outgoing line successfully, the wind farm output may have a big difference before and after the circuit...
The aim of this paper is to develop a doubly-fed induction generator (DFIG) wind turbine model suitable for the simulation of this generator in the healthy mode and faulty mode. The dynamic model of a DFIG with rotor and stator inter-turn short circuit fault is proposed. A model (abc) is developed, which can represent both the healthy and faulty conditions. The DFIG is directly connected to the grid...
The low voltage ride through (LVRT) capability is one of the critical requirements for distributed power generator connecting to power grid in many distribution codes, especially for the power grids with high penetration of distributed power generation. There has been much research conducted on LVRT capability enhancement for wind and solar power generators. This paper studies the applicability and...
The failure rate of rotor bars is high, which causes large area of broken conducting bars, shortening the lifetime of motors. Therefore, the diagnosis of broken rotor fault diagnosis is of great importance. First, the mathematical model of induction motors is presented, and the internal and external magnetic field boundary conditions are defined. Second, frequency domain analysis method is combined...
The round rotor induction machine (WRIM) can be described as a doubly fed induction generator (DFIG) when driven above the synchronous speed, and the stator and rotor windings are connected to the whole system. The work in this paper develops a relatively simple powerful model that can accurately analysis the behavior of DFIG with rotor-wound faults. The model is based upon the calculation of the...
This paper proposes a single fault diagnostic method for regenerative permanent magnet synchronous machine drives with the ability to handle IGBT faults, current sensor faults and mechanical sensor faults. The robustness against false alarms of the proposed technique is improved by using adaptive thresholds and normalized diagnostic variables. The proposed algorithm requires the information given...
The three-phase induction motor is one of the most employed equipment in industrial premisses. Despite of its reliability and robustness, these machines can present faults due to the operation time, harsh operating conditions, voltage unbalance, among other factors. In this work, a methodology for intelligent diagnose of multiple faults in induction motors by using a discretization of currents and...
Rotor winding interturn short circuit is the main fault of synchronous electric machines, it is of great significance to the safe and stable operation of the machine to discover and handle the fault timely. In view of this, the fault positioning method of rotor turn-to-turn short circuit of synchronous machines was studied. The mathematic expression of exciting magnetomotive force (e-m.m.f.), electromotiveforce...
This paper presents a comprehensive research study on the nature of selected stator and rotor fault of Induction Motor. In this article a mathematical model and a Matlab/ Simulink based simulation model is developed and simulation results for stator and rotor faults of induction motors are presented. Experimental evaluation of harmonics and negative sequence component (measure of unbalance) of stator...
In this paper a new on-line fault diagnostics technique of the occurrence of stator faults in an 8/6 Switched Reluctance Motor is proposed. To validate the proposed approach a dynamic model was developed in Matlab/Simulink environment, based on the utilization of a specific lookup table for each phase, obtained with FEMM.
A multiphase machine is more reliable than a three-phase one, but it usually shows reduced performance under faulty behaviour. In this paper, the performance in case of open-phase fault is analyzed, and two fault tolerant control algorithms, which aim to minimize the Joule losses in the remaining healthy phases, are compared. The proposed control techniques are validated by numerical simulations,...
Electrical and mechanical faults in a three phase Induction machine is modelled and analysed, to identify potential fault signatures. Electrical, magnetic and torque signatures are analysed for various faults and their combinations, for potential fault signature identification. A multi-physics Finite Element tool is chosen for this analysis considering the possibilities to extend the study to thermal...
Much attention has been paid to Virtual Synchronous Control (VSynC) strategy for Doubly-Fed Induction Generator (DFIG) due to its advantage in providing dynamic supports of frequency and voltage. However, current researches of VSynC strategy focus on analysis of its electromechanical behaviors, and neglect its electromagnetic transient responses and fault characteristics, hindering its application...
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