USING NEURAL NETWORK TO DETERMINE THE PERMISSIBLE DOMAIN FOR OPERATING POINTS OF AN INDUCTION MOTOR THAT HAS TURN FAULTS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

RAEI A.A.GH.; RASHTCHI V.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Year:2004 | Volume:38 | Issue:1 (83) Page(s): 27-34

Download Full-Text

Persian Verion

View:

981

Download:

Cites:

Information Journal Paper

Title

USING NEURAL NETWORK TO DETERMINE THE PERMISSIBLE DOMAIN FOR OPERATING POINTS OF AN INDUCTION MOTOR THAT HAS TURN FAULTS

Author(s)

RAEI A.A.GH. | RASHTCHI V. | Issue Writer Certificate

Keywords

Not Registered.

Abstract

Practicability of driving an induction motor that has turn faults, and permissible operating points, at which no fault enlargement occurs, is shown in literature. In this paper, the permissible domain of operating points (PDOP) for a faulty motor are classified to steady and transient PDOP, which respectively means working points for arbitrary and short periods of times. As expected, for a certain size of fault, higher speed and torque as transient are tolerable, and this idea can be used for a more suitable control of a faulty motor. Dependency of PDOP on ambient temperature and capability of neural networks in shortening the time consuming process of determining steady PDOPs are shown. A thermal model for faulty motor is proposed which assists in following the temperature of fault location, and can be used for obtaining transient PDOPs and steady PDOPs at different ambient temperatures. The parameters of the model are obtained with the aid of a GA, neural network and the results of some experiments. The validity and accuracy of results are shown with the aid of many experimental tests.

Cites

No record.

References

ANALYTICAL AND EXPERIMENTAL STUDY FOR-POSSIBLE DRIVE OF AN INDUCTION MOTOR WITH TURN FAULTS

Cite

APA: Copy

RAEI, A.A.GH., & RASHTCHI, V.. (2004). USING NEURAL NETWORK TO DETERMINE THE PERMISSIBLE DOMAIN FOR OPERATING POINTS OF AN INDUCTION MOTOR THAT HAS TURN FAULTS. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), 38(1 (83)), 27-34. SID. https://sid.ir/paper/14579/en

Vancouver: Copy

RAEI A.A.GH., RASHTCHI V.. USING NEURAL NETWORK TO DETERMINE THE PERMISSIBLE DOMAIN FOR OPERATING POINTS OF AN INDUCTION MOTOR THAT HAS TURN FAULTS. JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN)[Internet]. 2004;38(1 (83)):27-34. Available from: https://sid.ir/paper/14579/en

IEEE: Copy

A.A.GH. RAEI, and V. RASHTCHI, “USING NEURAL NETWORK TO DETERMINE THE PERMISSIBLE DOMAIN FOR OPERATING POINTS OF AN INDUCTION MOTOR THAT HAS TURN FAULTS,” JOURNAL OF FACULTY OF ENGINEERING (UNIVERSITY OF TEHRAN), vol. 38, no. 1 (83), pp. 27–34, 2004, [Online]. Available: https://sid.ir/paper/14579/en

Related Journal Papers