نتایج جستجو برای: rotor fault

تعداد نتایج: 77334  

2013
Basil Saied Ahmed Ali

The paper aims to investigate the use of the Finite Element Method for electrical and mechanical faults detection in three-phase squirrel cage, induction machines. The features of Finite Element Method are significant, which consider the physical mapping of stator winding and rotor bar distribution. Therefore, modeling of the faults in stator winding, rotor bars and air-gap eccentricity will be...

2013
Don-Ha Hwang Young-Woo Youn Jong-Ho Sun Yong-Hwa Kim

This paper proposes a new diagnosis algorithm to detect broken rotor bars (BRBs) faults in induction motors. The proposed algorithm is composed of a frequency signal dimension order (FSDO) estimator and a fault decision module. The FSDO estimator finds a number of fault-related frequencies in the stator current signature. In the fault decision module, the fault diagnostic index from the FSDO es...

2015
Jyothi Varanasi M. M. Tripathi

Transient stability of a power system is concerned with the system’s ability to remain in synchronism after the disturbance is cleared. Occurrence of a fault in a power system causes transients. The disturbances subjected to the system may be occurrence of fault, sudden change in load etc. This paper describes the improvement of transient stability with phase shift insertion by phase shifting t...

2012
Peter Fogh Odgaard Jakob Stoustrup

Advanced control schemes can be used to optimize energy production and cost of energy in modern wind turbines. These control schemes most often rely on wind speed estimations. These designs of wind speed estimators are, however, not designed to be fault tolerant towards faults in the used sensors. In this paper a fault tolerant wind speed estimator is designed based on a set of unknown input ob...

2016
Hamed Yahoui Guy Grellet

For asynchronous machines, 20% of the failures are due to the rotor [1] and particularly the end-ring fault of cage motors. Studies [2,4] have shown that a rotor fault generates flux harmonics which induce in term of harmonics in the stator currents. So, the analysis of the torque which is the product of these two quantities, must give a better information on the faults. In this paper a new tec...

2008
J. Faiz B. M. Ebrahimi M. Valavi H. A. Toliyat

In this paper, winding function method (WFM), applied to a faulted synchronous generator, is modified and is used for online diagnosis of mixed eccentricity fault. For the first time, the static and mixed eccentricities are modeled in synchronous generators. A modified winding function (MWF) method introduced here is more precise compared with previous methods. This MWF enables to compute the a...

Journal: :Nonlinear Dynamics 2022

The rotor misalignment fault, which occurs only second to imbalance, easily in the practical rotating machinery system. Rotor can be further divided into coupling and bearing misalignment. However, most of existing references analyze effect on dynamic characteristics system ignore change excitation caused by Based above limitations, a five degrees freedom nonlinear restoring force mathematical ...

2012
C. HARLIŞCA R. P. HANGIU L. SZABÓ H. SILAGHI

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 ...

2016
K. Uma Rao Raksha Umesh

This paper presents a methodology for the detection of broken rotor bar fault and power quality (PQ) disturbances in the supply to induction motor. These faults lead to increase in the temperature and decrease in the efficiency of the induction motor. Wavelet transform is applied to the stator current, for the extraction of the signature of the fault. These wavelet coefficients are fed as input...

Journal: :JCP 2012
Bin Peng Chang-an Hu Rong-zhen Zhao Yu-qiao Zheng

At present, although most fault diagnosis methods of rotating machinery is qualitatively used, it is gravely lacking in quantitative accuracy. So a novel algorithm GAHPSO combining with the advantages of genetic algorithm (GA), simulated annealing (SA) and particle swarm optimization (PSO) was provided to train neural network (NN). The proportion and blend methods were applied to the novel algo...

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