Modelling and Detection of Bearing Fault in PWM Inverter Fed Induction Motor Drives

Siddiqui, Khadim Moin; Sahay, Kuldeep; Giri, V. K.

doi:10.26634/jee.8.1.2995

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…Induction Machine block parameters are as shown in Table I. The stator voltage on the q-axis and d-axis are given in (1) and (2). The equations from ((1) to (7)) come into the category of Electrical system.…”

Section: Mathematical Modeling Of the Motormentioning

confidence: 99%

Modeling and Analysis of Open and Closed Loop Induction Motor Fed PWM Inverter

Siddiqui¹,

Sahay²,

Giri³

2016

IJEEE

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Squirrel Cage Induction Motors are the widely used motors for industries due to its robust design, simple construction and low operational costs. The squirrel cage induction motor fed into Sinusoidal Pulse Width Modulation (SPWM) inverter presents the greater advantages on cost and energy efficiency as compared with other industrial solutions for varying speed applications. In the present paper, an open and closed loop 0.5HP, 50Hz, 1725rpm squirrel cage induction motor fed into PWM inverter has been developed and analyzed in the recent MATLAB/Simulink environment. It has been observed from the obtained results of open and closed loop models, the closed loop model gives better results as compare to open loop with reduced harmonics. Four signature parameters of motor have been considered for the analysis purpose in both models (open/close). These are stator current, rotor current, rotor speed and developed electromagnetic torque. The torque control method has been used for controlling the induction motor in closed loop due to its advantages over field-oriented control method.  Index Terms-open loop model, close loop model, induction motor, PWM inverter, MATLAB/Simulink

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Section: Mathematical Modeling Of the Motormentioning

confidence: 99%

Modeling and Analysis of Open and Closed Loop Induction Motor Fed PWM Inverter

Siddiqui¹,

Sahay²,

Giri³

2016

IJEEE

Self Cite

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“…The utilization of squirrel cage induction motors with electronic inverters [6] presents great advantages regarding costs and energy efficiency, compared with other industrial solutions for varying speed applications. Nevertheless, the inverter affects the motor performance and might introduce disturbs into the mains power line.…”

Section: Induction Motormentioning

confidence: 99%

“…PWM voltage source static frequency inverters presently comprehend the most used equipment to feed low voltage industrial motors in applications that involve speed variation. They work as an interface between the energy source (AC power line) and the induction motor [6].…”

Section: Induction Motormentioning

confidence: 99%

The automation of a sustainable billboard management system

Andrei

2013

2013 8th International Symposium on Advanced Topics in Electrical Engineering (Atee)

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This paper presents an improved and easy-to-use solution for an automated management system of a sustainable billboard. The main purpose of this application is to produce a self -sustainable system that will ensure the rotation of the billboard throughout the day. Using an intelligent solar tracking system and state of the art automation equipment, this model was created as a professional solution that meets the requirements and fulfills the aims initially set. The display can be seen from any point of the campus and it is self-sustainable, using only green energy.

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“…Multiple faults such as stator winding, ball element, outer race, unbalanced, and bearing are diagnosed using the aforementioned methods. The broken rotor bar (BRB) detection is one of the most analyzed faults due to its severity and for avoiding subsequent major failures [13]. In this context, some works in the literature propose the diagnosis and classification of BRB in the time domain using machine learning methods and achieving accurate classification results.…”

Section: Introductionmentioning

confidence: 99%

Detection of Broken Bars in Induction Motors Using Histogram Analysis of Current Signals

et al. 2023

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The lifetime of induction motors can be significantly extended by installing diagnostic systems for monitoring their operating conditions. In particular, detecting broken bar failures in motors is important for avoiding the risk of short circuits or other accidents with serious consequences. In the literature, many approaches have been proposed for motor fault detection; however, additional generalized methods based on local and statistical analysis could provide a low-complexity and feasible solution in this field of research. The proposed work presents a methodology for detecting one or two broken rotor bars using the sums and differences histograms (SDH) and machine learning classifiers in this context. From the SDH computed in one phase of the motor’s current, nine texture features are calculated for different displacements. Then, all features are used to train two classifiers and to find the best displacements for faults and health identification in the induction motors. A final experimental evaluation considering the best displacements shows an accuracy of 98.16% for the homogeneity feature and a few signal samples used in a decision tree classifier. Additionally, a polynomial regression curve validates the use of 50 samples to obtain an accuracy of 88.15%, whereas the highest performance is achieved for 250 samples.

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Modelling and Detection of Bearing Fault in PWM Inverter Fed Induction Motor Drives

Cited by 6 publications

References 7 publications

Modeling and Analysis of Open and Closed Loop Induction Motor Fed PWM Inverter

Modeling and Analysis of Open and Closed Loop Induction Motor Fed PWM Inverter

The automation of a sustainable billboard management system

Detection of Broken Bars in Induction Motors Using Histogram Analysis of Current Signals

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