Applying of artificial neural network in maintenance planning of metallurgical equipment

Metalurgija

Volumn 44, Issue 2, 2005, Pages 107-112

  Saric T ^a   Lujic R ^a   Simunovic G ^a  

^a JOSIP JURAJ STROSSMAYER UNIVERSITY OF OSIJEK   (Croatia)

Author keywords

Maintenance; Maintenance information system; Neural networks

Indexed keywords

ALGORITHMS; CONDITION MONITORING; DATA STRUCTURES; METALLURGY; SELECTION;

CONDITION BASED MAINTENANCE (CBM); ELEMENT SELECTION; INFORMATION SYSTEMS; METALLURGICAL EQUIPMENT;

NEURAL NETWORKS;

METALLURGY;

EID: 13844275139     PISSN: 05435846     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. N. Majdandžić, Strategije održavanja i informacijski sustavi održavanja, Strojarski fakultet u Slavonskom Brodu, Slavonski Brod, 1999, 236-260 i 267.
2. P. Willmott, Total Productive Maintenance - The Western way, Butterworth-Heinemann, Jordan Hill, Oxford, UK, 1997, 60-69.
3. H. E. Hartman, Zbornik, Euromauntenance 98, I. Ivančić, T. Udiljak, I. Čala (Ured.), HDO - Hrvatsko društvo održavatelja, Dubrovnik, 1998, 3-16.
4. N. Majdandžić, I. Budić, D. Novoselović, Metalurgija, 42 (2003) 3, 197-202.
5. B. K. N. Rao, Handbook of Condition Monitoring, Elseviar Advanced Technology, Oxford, UK, 1996, 97-114.
6. B. Li, M. Y. Chow, Y. Tipsuwan, J. C. Hung, IEEE Transactions on Industrial Electronics, 47 (2000) 5, 1060-1069.
7. R. E Abdel-Aal,, M. Raashid,. Shock & Vibration, 6 (1999) 5-6, 253-265
8. J. Y. Jeng, T. F. Mau, S.M. Leu, Journal of Materials Processing Technology. 99 (2000) 1-3, 207-218.
9. J. T. Luxhoj, Engineering Applications of Artificial Intelligence, 11 (1998) 6, 723-734.
10. M. A. Rao, Journal of Engineering Tribology, 215 (2001) J2, 149-155.
11. N. S. Vyas, D. Satishkumar, Mechanism & Machine Theory, 36 (2001) 2, 157-175.
12. I. S. Koo, W. W. Kim, ISA Transactions, 39 (2000) 3, 309-316.
13. T. Masters, Practical Neural Network Recipes in C++, Academic Press, San Diego, USA 1993, 177.