Induction motor model in ANSYS given in appendixThe IM in ANSYS Maxwell is co simulated with ANSYS Simplorer to feed the IM from mains and a 3 phase voltage source inverter. The bearing is modelled as a damping friction coefficient attached to the motor shaft in ANSYS Simplorer. The healthy bearing has a friction co efficient of 0.009 Nms/rad. The wear and tear of the bearing increases due to poor lubrication, contamination, corrosion and electrical pitting. The wear & tear is modelled by increasing the frictional co efficient attached to the motor shaft to significant values like 0.1, 0.2, and 0.3 Nms/rad based on the severity of the fault.

Induction motor model in ANSYS given in appendixThe IM in ANSYS Maxwell is co simulated with ANSYS Simplorer to feed the IM from mains and a 3 phase voltage source inverter. The bearing is modelled as a damping friction coefficient attached to the motor shaft in ANSYS Simplorer. The healthy bearing has a friction co efficient of 0.009 Nms/rad. The wear and tear of the bearing increases due to poor lubrication, contamination, corrosion and electrical pitting. The wear & tear is modelled by increasing the frictional co efficient attached to the motor shaft to significant values like 0.1, 0.2, and 0.3 Nms/rad based on the severity of the fault.

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Diagnosis of faults in induction motor is an indispensable process in industries to improve the reliability of the machine and reduce the financial loss. Among the various faults occurring in induction motors (IM), bearing fault is the predominant one which covers nearly 60% of faults. In this paper, a study of the electromagnetic field of an induc...

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Context 1
... three phase induction motor is modelled using ANSYS Rmxprt which is a template based on electric machine design tool and is imported to ANSYS Maxwell to carry out the analysis. A simulation study is carried out on three phase, 380V, 1440rpm, 50Hz, 7.5kW induction motor, the model developed in ANSYS is shown in Fig. 1.The details of the motor used is ...
Context 2
... bearing friction coefficient of 0.3 Nms/rad thus seen a decrease in average shaft speed. Flux line distribution of the machine is symmetrical under healthy condition and as the effect of bearing friction increases, distribution becomes asymmetrical as seen Fig. 9. Increase in fault severity correspondingly increases the distortion in flux lines. Fig. 10 indicates the sinusoidal radial air gap flux density of a 4 pole induction machine at full load condition in both normal and abnormalbearing friction coefficient conditions. The presence of sharp peaks in positive and negative cycle of radial air gap flux density is due to the high switching frequency of inverter. Under faulty ...
Context 3
... condition in both normal and abnormalbearing friction coefficient conditions. The presence of sharp peaks in positive and negative cycle of radial air gap flux density is due to the high switching frequency of inverter. Under faulty condition the radial flux density distribution is highly distorted and uneven compared to the healthy condition. Fig. 11 shows the spatial FFT spectrum of radial air gap flux density at full load under healthy and faulty condition. It is evident from Table II., the magnitude of fundamental component is decreasing and 100 mm component is increasing with the severity of fault. ...
Context 4
... three phase induction motor is modelled using ANSYS Rmxprt which is a template based on electric machine design tool and is imported to ANSYS Maxwell to carry out the analysis. A simulation study is carried out on three phase, 380V, 1440rpm, 50Hz, 7.5kW induction motor, the model developed in ANSYS is shown in Fig. 1.The details of the motor used is ...
Context 5
... bearing friction coefficient of 0.3 Nms/rad thus seen a decrease in average shaft speed. Flux line distribution of the machine is symmetrical under healthy condition and as the effect of bearing friction increases, distribution becomes asymmetrical as seen Fig. 9. Increase in fault severity correspondingly increases the distortion in flux lines. Fig. 10 indicates the sinusoidal radial air gap flux density of a 4 pole induction machine at full load condition in both normal and abnormalbearing friction coefficient conditions. The presence of sharp peaks in positive and negative cycle of radial air gap flux density is due to the high switching frequency of inverter. Under faulty ...
Context 6
... condition in both normal and abnormalbearing friction coefficient conditions. The presence of sharp peaks in positive and negative cycle of radial air gap flux density is due to the high switching frequency of inverter. Under faulty condition the radial flux density distribution is highly distorted and uneven compared to the healthy condition. Fig. 11 shows the spatial FFT spectrum of radial air gap flux density at full load under healthy and faulty condition. It is evident from Table II., the magnitude of fundamental component is decreasing and 100 mm component is increasing with the severity of fault. ...

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Citations

... It is better than analytical method because of accurate modelling of IM. The FEM is a well-established tool used for electrical and electromagnetic fields problems, it makes a model more accurate by including winding type, material, magnetic saturation and effects of air gap spatial harmonics etc., [6]. Finite element analysis (FEA) allows considerable flexibility when designing IM to include precise geometric shapes, material properties, slotshapes, and winding types.Using FEM, the distribution of flux over the motor and in the air gap can be analyzed for healthy and various abnormal conditions. ...
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... Detecting component level fault of a machine at its prior-stage can avoid catastrophic failure. Mainly, fault diagnosis procedure can be classified into signal-based, modelbased, data-driven, and hybrid methods [2] [3] [1]. The datadriven method requires a huge amount of historical data to analyse the characteristics of a machine. ...
... These feature maps are formed by applying different weight matrices to the receptive field iteratively. In (2), the size of the input is reduced to ...
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