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Analysis a failures in industrial systems with FMEA analysis and fuzzy logic
Conference Paper
· September 2015
DOI: 10.13140/RG.2.1.5099.9528
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Analiza grešaka industrijskih sistema korištenjem FMEA analize i
Fazi logike
Tihomir Latinović
1
,
2
Milan Latinović,
3
Marius Calin Benea
Rezime
: Ovaj rad uvodi
Fazi Fmea analizu kao novi pristup problemu analize grešaka
i njihovih efekata na industrijski sistem. Pri
tom se riješavaju problemi tradicionalne
FMEA analize kod koje nije definisana cijena koštanja neke greške , odnosno njenog
otklanjanja. Ovim metodom se uvodi fazi logika kod analize podataka i formiranja
opisnih funkcija od podataka o tačnosti, događaju i detekciji greške. Korištenjem Fazi
funkcija pripadnosti lakše se grupišu pojave grešaka i opisno prikazuju. RPI (Indeks
Prioriteta Rizika) uvodi se zbog definisanja prioriteta moda grešaka. Korisnost Fazi
bazirane FMEA se demonstrira preko uz
ročno-posljedične studije. Ona pokazuje da se
ostvaruju pozitivni efekti kada se definiše svojevrsna cijena koštanja grešaka sa
modovima grešaka kod kojih se ustanovi prioritet. Fazi FMEA analiza je dobar alat za
analizu grešaka i njihovih posljedica na sistem.
Ključne riječi: Fazi Logika, FMEA analiza, Kontrola Kvaliteta
Analysis a failures in industrial systems with FMEA analysis and fuzzy logic
Abstract: This paper introduced a FUZZY FMEA analysis to provide a cost
effective failure mode and effects analysis tool to overcome the disadvantages of
the traditional FMEA that the cost due to failure is not defined. The method presented
in this paper is based on the fuzzy theory. It uses fuzzy theory and fuzzy
membership functions for the assessment of severity, occurrence, and detection.
The application of fuzzy membership functions better represents the team opinions.
The Risk Priority Index (RPI) is developed for the prioritization of failure modes. The
advantages of the Fuzzy FMEA are demonstrated through cases studies. It
shows that it can take the cost due to failure into account when prioritizing failure
modes.
Keywords: Fuzzy logic, FMEA analysis, Control quality
1
Doc. Dr, Tihomir Latinović, Banjaluka, Mašinski Fakultet, ([email protected])
2
Dipl. Ing, Milan Latinovi
ć, Banja Luka, ([email protected])
3
Doc. Dr, Marius Calin Benea, Politehnički Fakultet, Hunedoara, Rumunija,([email protected])
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