Designand application of data aquistion interface circuit
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2018-03-11 https://doi.org/10.14419/ijet.v7i2.6.10778 -
Faults Diagnose, Three Phase Induction Motor, Artificial Neural Network (ANN) -
Abstract
A commitment to condition monitoring involves the operators of plant in the conduct of a range of activities. These activities may be complicated in nature and indeed may often be performed automatically under computer control. They can, however, always be down into a relatively small number of easily identifiable functional tasks. This makes it much easier to identify the common elements of machine condition monitoring schemes. A proposed interface circuit design and application will be further explain in this paper, the implemented monitoring unit circuit also illustrated, see appendix A. Two scenarios presented in this paper, first ten turns assume to be shorted, and in the second thirty turns shorted to show the difference in the amplitude of frequencies at each case. This paper present. An improvement in three-phase squirrel-cage induction motor stator inter-turn fault detection and diagnosis based on a neural network approach is presented.
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References
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[6] Hayder O. Alwan, Noor M. Farhan, Qais S-Al-Sabbagh “Detection of Static Air-Gap Eccentricity in Three Phase induction Motor by Using Artificial Neural Network (ANN)†Vol 7-Issue 5(May-2017)International Journal of Engineering Research and Application(IJERA), ISS: 2248-9622, www.ijera.com. Available online:
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How to Cite
O. Alwan, H., & S- Al-Sabbagh, Q. (2018). Designand application of data aquistion interface circuit. International Journal of Engineering & Technology, 7(2.6), 247-252. https://doi.org/10.14419/ijet.v7i2.6.10778Received date: 2018-03-29
Accepted date: 2018-03-29
Published date: 2018-03-11