Probabilistic Neural Network Based Identification of External faults Experienced by 3-Phase Induction Motors
Journal Title: International Journal of Computational Engineering and Management IJCEM - Year 2015, Vol 18, Issue 3
Abstract
Fault diagnosis and condition assessment (FDCA) of rotating machines is critical due to the pivotal role that these machines play in our industries. Proper FDCA not only augments the machine’s operative lifecycle, it also improves its efficiency, thus reducing chances of cataclysmic failure. This paper defines a realistic FDCA method for 3-phase induction motors using an open source dataset. External faults experienced by IM are monitored by the probabilistic neural network (PNN) whose performance characteristics are then compared with those of Multi-Layer Perceptron (MLP) revealing that the PNN algorithm is much quicker, thereby resulting in lessening of the workload experienced by a computer substantially. RMS value of 3-phase voltages and currents are utilized as input variable for model formation to identify the 6 types of external faults experienced by IMs’ and normal operating (NF) condition. The developed system is then put to the test utilizing a sample set of 160 readings to highlight the efficiency and accuracy of the system for multiple fault scenarios.
Authors and Affiliations
Vihan Talur and Saarang Rastogi , A. P. Mittal Hasmat Malik
Keywords
Related Articles
- EP ID EP148106
- DOI -
- Views 85
- Downloads 0
A Novel Message Driven Local Repair Algorithm for MANET
Mostly MANET is used for emergency situation like disaster management which has the task of supplying QoS in an effort to provide the right information to the right place at the right time. In this scenario with the capa...
Orderable and Deformable Coxeter Hyperbolic Tetrahedrons with Finite Volume
In this article, we classified the 3-dimensional orderable and deformable Coxeter hyperbolic tetrahedrons with finite volume. Andreev’s states a necessary and sufficient condition for a hyperbolic polyhedron with finite...
An Power Efficient RNS Backward Converter for Novel Moduli Set { }
In this paper we propose new 3-moduli set for a large dynamic range of 6n-bits.Adder based RNS backward converter for this 3- moduli set is proposed based on New Chinese Remainder Theorem-I to achieve high performance....
Foreign Direct Investment in India
Foreign direct investment plays an important role in the economic development of the country. It helps in transferring of financial resources, technology and innovative and improved management techniques along with raisi...
Methodological Analysis of Principal Component Analysis (PCA) Method
Principal Components Analysis (PCA) is a practical and standard statistical tool in modern data analysis that has found application in different areas such as face recognition, image compression and neuroscience. It has...