Analysis of a Nonintrusive Efficiency Estimation Technique for Induction Machines Compared to the IEEE 112B and IEC 34-2-1 Standards


International potency testing standards, such as the IEEE 112-B and IEC thirty four-2-one, will verify the potency of an induction machine (IM) accurately at the value of hindering the machine's productivity. Alternatively, various methods used to determine a machine's potency in situ do therefore at the cost of accuracy. This paper proposes a technique that determines an IM's potency over a range of load conditions from tests conducted and targeted around one thermally stable load purpose in the smallest amount intrusive manner possible. The results are then compared to those of the IEEE 112-B and IEC 34-2-1 motor testing standards using segregated loss analysis. It was found that despite the proposed algorithm being unable to accurately determine core losses, the potency of a machine can be estimated to within zero.five%–two.1% and– error, compared to the IEEE 112-B and IEC 34-a pair of-one standards, respectively over a 25%–a hundred and fifty% machine load profile (dependent upon the proposed technique's implementations).

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Performance Analysis and Optimization of Cache-Assisted CoMP for Clustered D2D Networks ABSTRACT: Two promising strategies for supporting massive content delivery over wireless networks while mitigating the effects
PROJECT TITLE : Measurement Errors in Range-Based Localization Algorithms for UAVs: Analysis and Experimentation ABSTRACT: The ability to precisely locate ground devices (GDs) is essential for a wide range of different applications,
PROJECT TITLE : Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition ABSTRACT: It has been demonstrated that using a convolutional neural network, also known as CNN, is an efficient method
PROJECT TITLE : Traffic Anomaly Detection in Wireless Sensor Networks Based on Principal Component Analysis and Deep Convolution Neural Network ABSTRACT: Because of the proliferation of wireless networks, wireless sensor networks
PROJECT TITLE : STAR-RIS Integrated Nonorthogonal Multiple Access and Over-the-Air Federated Learning Framework, Analysis, and Optimization ABSTRACT: In this paper, nonorthogonal multiple access (NOMA) and over-the-air federated

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry