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SmartMetals: a new method for metal identification based on fuzzy logic

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Authors
Pocajt, Viktor
Ševarac, Zoran
Kovačević, Ana
Article (Published version)
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Abstract
This paper presents a method of searching, identifying and cross-referencing metal alloys based on their chemical composition and/or mechanical properties, typically obtained by analysis and tests. The method uses a general pattern similar to the approach of a human expert, and relies on a classification of metals based on metallurgical expertise and fuzzy logic for identifying metals and comparing their chemical and mechanical properties. The algorithm has been tested and deployed in real applications for fast metal identification and finding of unknown equivalents, by the leading companies in the field. The same principles can also be used in other domains for similar problems, such as organic and inorganic materials identification and generic drugs comparison. Copyright (C) 2009 John Wiley & Sons, Ltd.
Keywords:
metal identification / metal composition / metal properties / spectrometry
Source:
Journal of Chemometrics, 2009, 23, 11-12, 555-561
Publisher:
  • John Wiley & Sons Ltd, Chichester

DOI: 10.1002/cem.1251

ISSN: 0886-9383

WoS: 000273586400001

Scopus: 2-s2.0-70450177947
[ Google Scholar ]
2
3
URI
https://rhinosec.fb.bg.ac.rs/handle/123456789/38
Collections
  • Radovi istraživača
Institution/Community
FB
TY  - JOUR
AU  - Pocajt, Viktor
AU  - Ševarac, Zoran
AU  - Kovačević, Ana
PY  - 2009
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/38
AB  - This paper presents a method of searching, identifying and cross-referencing metal alloys based on their chemical composition and/or mechanical properties, typically obtained by analysis and tests. The method uses a general pattern similar to the approach of a human expert, and relies on a classification of metals based on metallurgical expertise and fuzzy logic for identifying metals and comparing their chemical and mechanical properties. The algorithm has been tested and deployed in real applications for fast metal identification and finding of unknown equivalents, by the leading companies in the field. The same principles can also be used in other domains for similar problems, such as organic and inorganic materials identification and generic drugs comparison. Copyright (C) 2009 John Wiley & Sons, Ltd.
PB  - John Wiley & Sons Ltd, Chichester
T2  - Journal of Chemometrics
T1  - SmartMetals: a new method for metal identification based on fuzzy logic
VL  - 23
IS  - 11-12
SP  - 555
EP  - 561
DO  - 10.1002/cem.1251
UR  - conv_392
ER  - 
@article{
author = "Pocajt, Viktor and Ševarac, Zoran and Kovačević, Ana",
year = "2009",
abstract = "This paper presents a method of searching, identifying and cross-referencing metal alloys based on their chemical composition and/or mechanical properties, typically obtained by analysis and tests. The method uses a general pattern similar to the approach of a human expert, and relies on a classification of metals based on metallurgical expertise and fuzzy logic for identifying metals and comparing their chemical and mechanical properties. The algorithm has been tested and deployed in real applications for fast metal identification and finding of unknown equivalents, by the leading companies in the field. The same principles can also be used in other domains for similar problems, such as organic and inorganic materials identification and generic drugs comparison. Copyright (C) 2009 John Wiley & Sons, Ltd.",
publisher = "John Wiley & Sons Ltd, Chichester",
journal = "Journal of Chemometrics",
title = "SmartMetals: a new method for metal identification based on fuzzy logic",
volume = "23",
number = "11-12",
pages = "555-561",
doi = "10.1002/cem.1251",
url = "conv_392"
}
Pocajt, V., Ševarac, Z.,& Kovačević, A.. (2009). SmartMetals: a new method for metal identification based on fuzzy logic. in Journal of Chemometrics
John Wiley & Sons Ltd, Chichester., 23(11-12), 555-561.
https://doi.org/10.1002/cem.1251
conv_392
Pocajt V, Ševarac Z, Kovačević A. SmartMetals: a new method for metal identification based on fuzzy logic. in Journal of Chemometrics. 2009;23(11-12):555-561.
doi:10.1002/cem.1251
conv_392 .
Pocajt, Viktor, Ševarac, Zoran, Kovačević, Ana, "SmartMetals: a new method for metal identification based on fuzzy logic" in Journal of Chemometrics, 23, no. 11-12 (2009):555-561,
https://doi.org/10.1002/cem.1251 .,
conv_392 .

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