Mixed resistive unbalance and winding inter-turn faults model of permanent magnet synchronous motors (original) (raw)
Related papers
Modeling of Surface-Mounted Permanent Magnet Synchronous Motors With Stator Winding Interturn Faults
IEEE Transactions on Industrial Electronics, 2000
This paper develops and analyzes a parametric model for simulating healthy and faulty surface-mounted permanent magnet synchronous motors. It allows studying the effects of stator winding interturn short-circuit faults. A relevant feature of the developed model is that it deals with spatial harmonics due to a nonsinusoidal rotor permanent magnet configuration. Additionally, the proposed model is valid for studying the behavior of these machines running under nonstationary conditions, including load or speed variations. Stator current spectra obtained from simulations performed by applying the proposed model show a close similitude with experimental results, highlighting the potential of such a model to understand the effects of stator winding failures on the current spectrum and allowing it to carry out an automatic diagnosis of such faults.
2011
This work proposes the zero sequence voltage component (ZSVC) of the stator three-phase voltages as a method for detecting winding inter-turns short circuits in permanent magnet synchronous motors PMSM operating under transient conditions. Additionally it proves the linear relationship between the ZSVC and speed, which is effectively used as a fault severity index. The acquired ZSVC temporal signal is processed by means of the Hilbert-Huang transform (HHT). Experimental results presented in this work show the advantages of the method to provide helpful data for online diagnosis of stator winding inter-turn faults.
Turn-to-Turn Short Circuit Faults between Two Phases in Permanent Magnet Synchronous Motor Drives
With the increased use of permanent magnet synchronous motors (PMSMs), efficient online condition monitoring and accurate fault diagnosis for these machines are very important. In order to reduce downtime and avoid unsafe operating conditions, it is essential to establish a methodology capable to detect incipient turn faults. This paper analyzed the consequences of turn-to-turn circuit faults between two phases in a PM synchronous motor. Thus, a simple method based on rotor speed ripples is proposed for detecting stator winding faults. Also, a fault index allows quantifying the severity of the fault. This latter seems to be well adapted for PM motors health monitoring and interturn fault diagnosis. Experimental results are included to show the ability of the proposed strategy to detect incipient faults.
IRJET-DIAGNOSIS OF STATOR WINDING SHORT CIRCUIT FAULT IN PERMANENT MAGNET SYNCHRONOUS MOTOR
Permanent magnet synchronous motors (PMSM) are used for high speed application, in last two decade we are see that the permanent magnet synchronous motor are used with electronics component for different uses. Those include electrical traction propulsion and other electromechanical system. Diagnosis of fault can significantly improve system availability & reliability. This paper deals with stator winding short circuit fault in permanent magnet synchronous motor. Both the fault location and fault severity are diagnosed. The performance of motor under both the condition normal and faulty condition is simulated through different parameters. Also this help to analysis the stator inter turn fault. To verify the effectiveness of the proposed scheme a test motor which allow inter turn short circuiting test of stator winding has been built to diagnosis the short circuit fault in motor.
Stator current signal analysis is used to diagnosis inter-turn short circuit fault in permanent magnet synchronous machines (PMSM). The PMSM is modeled using magnetic equivalent circuit (MEC). This method takes into account the impacts of stator teeth, rotor yoke and stator winding distribution precisely. First healthy and faulty PMSM is simulated for different fault severities. In the 2 nd step, inter-turn short circuit fault is detected and its severity is determined using the amplitude of the side band components of the stator current. Finally, the frequency components of the extended Park vector magnitude are employed as the 2 nd index for fault detection. This index is independent of the load and only depends on the fault severity.
A Fault Severity Index for Stator Winding Faults Detection in Vector Controlled PM Synchronous Motor
Journal of Electrical Engineering and Technology, 2015
Stator turn faults in permanent magnet synchronous motors (PMSMs) are more dangerous than those in induction motors (IMs) because of the presence of spinning rotor magnets that can be turned off at will. Condition monitoring and fault detection and diagnosis of the PMSM have been receiving a growing amount of attention among scientists and engineers in the past few years. The aim of this study is to propose a new detection technique of stator winding faults in a three-phase PMSM. This technique is based on the image analysis and recognition of the stator current Concordia patterns, and will allow the identification of turn faults in the stator winding as well as its correspondent fault index severity. A test bench of a vector controlled PMSM motor behaviors under short circuited turn in two phases stator windings has been built. Some experimental results of the phase to phase short circuits have been performed for diagnosis purpose.
Comprehensive review on inter-turn fault indexes in permanent magnet motors
Inter-turn fault (ITF) of stator winding is a very sensitive and critical fault in permanent magnet motors. If this fault is not diagnosed on-time, it can quickly expand and generate serious damage and even full damage to the motor. So, realisation of this fault, its impact on the motors and finally its diagnosis methods are essential and has high priorityfor users of the motors. This study presents the trend of the negative impacts of the fault on the performance of the machine. Available indexes for this fault detection are introduced and described in details. By analysing these indexes, their merits and drawbacks, limitations and ambiguous points are extracted. Finally, these indexes are compared and the best and worst indexes are introduced. Moreover, one of the most used index and the simplest one will be simulated in order to show capability of a new current-based ITF diagnosis index.
ANN based fault diagnosis of permanent magnet synchronous motor under stator winding shorted turn
Electric Power Systems Research, 2015
The fault detection and diagnosis in electrical motors is a topic of increasing interest in the field of highly reliable and fault-tolerant measurement and control systems. This paper focuses on inter-turn short circuit fault diagnosis in stator windings of a Permanent magnet synchronous motor (PMSM). A multilayer artificial neural network (MANN) has been used for diagnosis and classification of different levels of short circuit. The analytical and finite element method (FEM) based results have been validated by experimental results. Experimental data have been employed to train ANN.
Inter-Turn Fault Diagnosis in Permanent Magnet Synchronous Motors – A Review
2015
— In this paper, it is aimed to draw a broad perspective on the status of electrical fault diagnosis including inter-turn faults using permanent magnet synchronous motor. The newest published applied paper in this area with looking back to advantages and disadvantages of presented methods and a deeper view is investigated and a comprehensive list of references is reported.
Interturn stator winding fault detection in PMSM using magnitude of reactive power
2011
Electrical machines are one of the main equipments in industry. Permanent Magnet Synchronous Motors (PMSM) is a useful electrical machine in industry, especially high power density of such motors is one of their important advantages in comparison with other kind of electrical machines. Different kinds of faults are unavoidable in such motors, same as other electrical equipments. Among expected faults, electrical fault and especially inter-turn stator winding fault is a harmful faults, in PMSM and other electrical motors. So far, different methods and patterns have been presented to detect this fault, in literature. Choosing proper and effective patterns can lead to better illustration of motor's behavior under fault condition. In this paper, magnitude of reactive power has been introduced to detect inter-turn fault in stator's windings. Obtained results show that introduced pattern can show behavior of PMSM under inter-turn fault, perfectly and can be an excellent choice for detecting such faults.