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Neural network prognostics model for industrial equipment maintenance

This paper presents a new prognostics model based on neural network technique for supporting industrial maintenance decision. In this study, the probabilities of failure based on the real condition equipment are initially calculated by using logistic regression method. The failure probabilities are...

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Bibliographic Details
Main Authors: Asmai, Siti Azirah, Hasan Basari, Abd Samad, Shibghatullah, Abdul Samad, Ibrahim, Nuzulha Khilwani, Hussin, Burairah
Format: Conference or Workshop Item
Language:English
Published: 2011
Subjects:
T Technology (General)
TJ Mechanical engineering and machinery
Online Access:http://eprints.utem.edu.my/id/eprint/20150/1/NEURAL%20NETWORK%20PROGNOSTICS%20MODEL%20FOR%20INDUSTRIAL%20EQUIPMENT%20MAINTENANCE-SITI%20AZIRAH%20ASMAI-MAK%2000292%20RAF.pdf
http://eprints.utem.edu.my/id/eprint/20150/
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http://eprints.utem.edu.my/id/eprint/20150/1/NEURAL%20NETWORK%20PROGNOSTICS%20MODEL%20FOR%20INDUSTRIAL%20EQUIPMENT%20MAINTENANCE-SITI%20AZIRAH%20ASMAI-MAK%2000292%20RAF.pdf
http://eprints.utem.edu.my/id/eprint/20150/

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