Three Phase Induction Motor's Stator Turns Fault Analysis Based on Artificial Intelligence

Hussein, Hawre; Ammar, Mohammed E.; Hassan, Mohamed

doi:10.4018/ijsda.2017070101

Cited by 20 publications

(6 citation statements)

References 26 publications

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“…Numerical simulations are carried out for different parameter values and initial conditions and it is shown that the mappings either diverge to infinity or converge to attractors of many different shapes. Hussein et al (2017) presented a method for fault detection and diagnosis of stator inter-turn short circuit in three phase induction machines. The technique is based on modelling the motor in the dq frame for both health and fault cases to facilitate recognition of motor current.…”

Section: Literature Reviewmentioning

confidence: 99%

Property Valuation Using Linear Regression and Random Forest Algorithm

Goundar

Bhardwaj

2022

International Journal of System Dynamics Applications

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The economic boom over the recent past and the quest to further develop, has made several nation states the business hubs in their regions. Along with the investments, there has been growth in the number of property sales. Social media has become convenient platform of choice for advertising property sales after the introduction of Web 2.0. This article utilizes social media platforms like Facebook to scrape data from user groups advertising properties and then using data mining techniques and approaches to determine true valuation of properties. This methodology is based on set attributes, in the urban areas by looking at the property sales of the recent past within the same area. This enables investors interested in these properties and provides a fair idea of price of properties based on the key attributes associated with the respective property.

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Section: Literature Reviewmentioning

confidence: 99%

Property Valuation Using Linear Regression and Random Forest Algorithm

Goundar

Bhardwaj

2022

International Journal of System Dynamics Applications

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“…H. A. Hussein et al (2017)., proposed a fault detection of stator inter-turn short circuit in a three-phase induction motor based on artificial intelligence. It can use to control the motor speed at the desired levels.…”

Section: Related Workmentioning

confidence: 99%

Design and Optimization of Direct Drive Motor Alloy Wheel for Manual Wheelchair

Avutu

Sauseng

2021

International Journal of System Dynamics Applications

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The wheelchair is the primary rehabilitation device used to enable the movement capability of disabled people. To provide an appropriate wheelchair, the doctor will suggest the necessary customization has to be made on the existing one. However, the customization of a manual wheelchair is easy and cost-effective compared with the powered wheelchair due to simple structure and spare parts availability in the market... Because of the above, a novel concept is proposed. The rear wheels of the manual wheelchair are replaced with a Direct drive motor alloy wheel. CATIA – V5 is utilized to design the proposed wheel and ANSYS software is used to check its performance at different load conditions. The stress-bearing capability of different materials for various Direct drive motor weights is observed through structural analysis. The natural mode frequencies are found using modal analysis and its nature of vibrations is verified. The harmonic response analysis is used to test the nature of deformation and stress concerning natural frequencies for the applied force.

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“…Machine learning involves predicting and classifying data and to do so, various machine learning models are used in literature. There are a number of machine learning classifiers available in the literature which are widely used in the classification problems pertaining to diverse fields like software defect prediction and fault severity (Panda, 2019, Hussein et al 2017, breast cancer classification (Majhi, 2018), health insurance claim prediction (Bhardwaj, 2020) etc. Machine learning classifiers have gained huge popularity in the recent years due to their capability in capturing complex nonlinear relationships among variables.…”

Section: Pseudo Code Of Sbfs Model Development Using Machine Learning Classifiersmentioning

confidence: 99%

Models for Efficient Utilization of Resources for Upgrading Android Mobile Technology

Jain¹,

Bansal

2021

International Journal of System Dynamics Applications

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The need of the customers to be connected to the network at all times has led to the evolution of mobile technology. Operating systems play a vitol role when we talk of technology. Nowadays, Android is one of the popularly used operating system in mobile phones. Authors have analysed three stable versions of Android, 6.0, 7.0 and 8.0. Incorporating a change in the version after it is released requires a lot of rework and thus huge amount of costs are incurred. In this paper, the aim is to reduce this rework by identifying certain parts of a version during early phase of development which need careful attention. Machine learning prediction models are developed to identify the parts which are more prone to changes. The accuracy of such models should be high as the developers heavily rely on them. The high dimensionality of the dataset may hamper the accuracy of the models. Thus, the authors explore four dimensionality reduction techniques, which are unexplored in the field of network and communication. The results concluded that the accuracy improves after reducing the features.

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Three Phase Induction Motor's Stator Turns Fault Analysis Based on Artificial Intelligence

Cited by 20 publications

References 26 publications

Property Valuation Using Linear Regression and Random Forest Algorithm

Property Valuation Using Linear Regression and Random Forest Algorithm

Design and Optimization of Direct Drive Motor Alloy Wheel for Manual Wheelchair

Models for Efficient Utilization of Resources for Upgrading Android Mobile Technology

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