AN APPLICATION OF ARTIFICIAL NEURAL NETWORK TO MAINTENANCE MANAGEMENT

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OLADOKUN V.O.; CHARLES OWABA O.E.; NWAOUZRU C.S.

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Journal Paper

Paper Information

Journal: JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL Year:2006 | Volume:2 | Issue:3 Page(s): 19-26

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Information Journal Paper

Title

AN APPLICATION OF ARTIFICIAL NEURAL NETWORK TO MAINTENANCE MANAGEMENT

Author(s)

OLADOKUN V.O. | CHARLES OWABA O.E. | NWAOUZRU C.S. | Issue Writer Certificate

Keywords

MAINTENANCE MANAGEMENT

DOWNTIME

ARTIFICIAL NEURAL NETWORK

MULTI-LAYER PERCEPTRON

Abstract

This study shows the usefulness of ARTIFICIAL NEURAL NETWORK (ANN) in maintenance planning and management. An ANN model based on the MULTI-LAYER PERCEPTRON having three hidden layers and four processing elements per layer was built to predict the expected DOWNTIME resulting from a breakdown or a maintenance activity. The model achieved an accuracy of over 70% in predicting the expected DOWNTIME.

Cites

DEVELOPMENT OF HARDWARE SYSTEM USING TEMPERATURE AND VIBRATION MAINTENANCE MODELS INTEGRATION CONCEPTS FOR CONVENTIONAL MACHINES MONITORING: A CASE STUDY

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APA: Copy

OLADOKUN, V.O., CHARLES OWABA, O.E., & NWAOUZRU, C.S.. (2006). AN APPLICATION OF ARTIFICIAL NEURAL NETWORK TO MAINTENANCE MANAGEMENT. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 2(3), 19-26. SID. https://sid.ir/paper/309819/en

Vancouver: Copy

OLADOKUN V.O., CHARLES OWABA O.E., NWAOUZRU C.S.. AN APPLICATION OF ARTIFICIAL NEURAL NETWORK TO MAINTENANCE MANAGEMENT. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2006;2(3):19-26. Available from: https://sid.ir/paper/309819/en

IEEE: Copy

V.O. OLADOKUN, O.E. CHARLES OWABA, and C.S. NWAOUZRU, “AN APPLICATION OF ARTIFICIAL NEURAL NETWORK TO MAINTENANCE MANAGEMENT,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 2, no. 3, pp. 19–26, 2006, [Online]. Available: https://sid.ir/paper/309819/en

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