EARLY FAULT DETECTION IN TRANSIENT CONDITIONS FOR A STEAM POWER PLANT SUBSYSTEM USING SUPPORT VECTOR MACHINE

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.

Moradi Milad; CHAIBAKHSH LANGRODI ALI; RAMEZANI AMIN

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

Journal Paper

Paper Information

Journal: Modares Mechanical Engineering Year:2017 | Volume:16 | Issue:10 Page(s): 405-411

Download Full-Text

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

Persian Verion

View:

525

Download:

Cites:

Information Journal Paper

Title

EARLY FAULT DETECTION IN TRANSIENT CONDITIONS FOR A STEAM POWER PLANT SUBSYSTEM USING SUPPORT VECTOR MACHINE

Author(s)

Moradi Milad | CHAIBAKHSH LANGRODI ALI | RAMEZANI AMIN | Issue Writer Certificate

Keywords

FAULT DETECTIONQ1

FEATURE EXTRACTIONQ2

POWER PLANT UNITQ1

SUPPORT VECTOR MACHINEQ1

TRANSIENT CONDITIONQ1

Abstract

In this study, an application of SUPPORT VECTOR MACHINE (SVM) for early FAULT DETECTION in a Benson type once-through boiler is presented. Thermal conditions disruption inside the boiler during load changes is the main reason for level changes of the start-up vessel. Because of complexity of the system’s dynamics, first the effective variables on increasing the level of start-up vessel were identified based on experimental data from a POWER PLANT UNIT. Then, the dimension of input variables was reduced by selecting appropriate features. Experimental results show that the hotwell surfaces’ temperature could be considered as the most appropriate indicator for steam quality deterioration. By comparing the extracted features from healthy and unhealthy conditions, appropriate fault model was developed using SVM with radial basis function (RBF) as the kernel. The performance of FAULT DETECTION system was evaluated with respect to the similar faults at two different time periods that happen in a steam power plant. The obtained results show the accuracy and feasibility of the proposed approach in early detection of faults during the unit’s load variations. Advantage of the proposed technique is the prevention of false alarm in power plants’ boilers as load changes.

Cites

No record.

References

No record.

Cite

APA: Copy

Moradi, Milad, CHAIBAKHSH LANGRODI, ALI, & RAMEZANI, AMIN. (2017). EARLY FAULT DETECTION IN TRANSIENT CONDITIONS FOR A STEAM POWER PLANT SUBSYSTEM USING SUPPORT VECTOR MACHINE. MODARES MECHANICAL ENGINEERING, 16(10 ), 405-411. SID. https://sid.ir/paper/178228/en

Vancouver: Copy

Moradi Milad, CHAIBAKHSH LANGRODI ALI, RAMEZANI AMIN. EARLY FAULT DETECTION IN TRANSIENT CONDITIONS FOR A STEAM POWER PLANT SUBSYSTEM USING SUPPORT VECTOR MACHINE. MODARES MECHANICAL ENGINEERING[Internet]. 2017;16(10 ):405-411. Available from: https://sid.ir/paper/178228/en

IEEE: Copy

Milad Moradi, ALI CHAIBAKHSH LANGRODI, and AMIN RAMEZANI, “EARLY FAULT DETECTION IN TRANSIENT CONDITIONS FOR A STEAM POWER PLANT SUBSYSTEM USING SUPPORT VECTOR MACHINE,” MODARES MECHANICAL ENGINEERING, vol. 16, no. 10 , pp. 405–411, 2017, [Online]. Available: https://sid.ir/paper/178228/en

Related Journal Papers