GAS-STATION PREDICTIVE MAINTENANCE PLANNING WITH HYBRID MODEL OF FUZZY NEUTRAL NETWORK AND PCA

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.

JAFARNEZHAD A.; SADEGHI MOGHADAM M.R.; AFSAR A.

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

Journal Paper

Paper Information

Journal: DANESHVAR RAFTAR Year:2007 | Volume:13 | Issue:20 (SPECIAL EDITION ON PSYCHOLOGY 7) Page(s): 37-48

Download Full-Text

Persian Verion

View:

2,248

Download:

Cites:

Information Journal Paper

Title

GAS-STATION PREDICTIVE MAINTENANCE PLANNING WITH HYBRID MODEL OF FUZZY NEUTRAL NETWORK AND PCA

Author(s)

JAFARNEZHAD A. | SADEGHI MOGHADAM M.R. | AFSAR A. | Issue Writer Certificate

Keywords

FUZZY NEURAL NETWORKQ3

PCAQ3

ARTIFICIAL NEURAL NETWORKQ3

PREDICTIVE MAINTENANCEQ3

CORROSIONQ3

PIPEQ3

Abstract

With the emergence of PREDICTIVE MAINTENANCE in 1980, radical changes took place in maintenance planning. PREDICTIVE MAINTENANCE depends on the prediction of facilities failure which are used at present. By predicting the failures correctly in future, we can decrease the cost of maintenance to a great extent. This approach involves using multiple techniques including artificial intelligence, that is, neural network, and “fuzzy sets” theory. The cost of maintenance is high for the activities of Iran’s National Gas Company, therefore, the application of PREDICTIVE MAINTENANCE can be economical. Gas is distributed through underground PIPEs which CORROSION destroys; thus, the cost inflicted on the society’s capital is incalculable.In this study predicting the failure was based on the combined model of FUZZY NEURAL NETWORK and principle component analysis. The results indicated that this model can decrease the inspection costs by 25%.

Cites

No record.

References

No record.

Cite

APA: Copy

JAFARNEZHAD, A., SADEGHI MOGHADAM, M.R., & AFSAR, A.. (2007). GAS-STATION PREDICTIVE MAINTENANCE PLANNING WITH HYBRID MODEL OF FUZZY NEUTRAL NETWORK AND PCA. DANESHVAR RAFTAR, 13(20 (SPECIAL EDITION ON PSYCHOLOGY 7)), 37-48. SID. https://sid.ir/paper/46384/en

Vancouver: Copy

JAFARNEZHAD A., SADEGHI MOGHADAM M.R., AFSAR A.. GAS-STATION PREDICTIVE MAINTENANCE PLANNING WITH HYBRID MODEL OF FUZZY NEUTRAL NETWORK AND PCA. DANESHVAR RAFTAR[Internet]. 2007;13(20 (SPECIAL EDITION ON PSYCHOLOGY 7)):37-48. Available from: https://sid.ir/paper/46384/en

IEEE: Copy

A. JAFARNEZHAD, M.R. SADEGHI MOGHADAM, and A. AFSAR, “GAS-STATION PREDICTIVE MAINTENANCE PLANNING WITH HYBRID MODEL OF FUZZY NEUTRAL NETWORK AND PCA,” DANESHVAR RAFTAR, vol. 13, no. 20 (SPECIAL EDITION ON PSYCHOLOGY 7), pp. 37–48, 2007, [Online]. Available: https://sid.ir/paper/46384/en

Related Journal Papers