Pregled bibliografske jedinice broj: 782775
A MODULE FOR FEATURE EXTRACTION WITHIN THE NEURO- FUZZY SYSTEM FOR TOOL WEAR RECOGNITION
A MODULE FOR FEATURE EXTRACTION WITHIN THE NEURO- FUZZY SYSTEM FOR TOOL WEAR RECOGNITION // 12th INTERNATIONAL SCIENTIFIC CONFERENCE MMA 2015 - FLEXIBLE TECHNOLOGIES / Doroslovački, Rade (ur.).
Novi Sad: Faculty of Technical Sciences - Departmant of Production Engineering, 2015. str. 63-66 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 782775 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A MODULE FOR FEATURE EXTRACTION WITHIN THE NEURO- FUZZY SYSTEM FOR TOOL WEAR RECOGNITION
Autori
Antić, Aco ; Šarić, Tomislav ; Milošević, Miodrag
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
12th INTERNATIONAL SCIENTIFIC CONFERENCE MMA 2015 - FLEXIBLE TECHNOLOGIES
/ Doroslovački, Rade - Novi Sad : Faculty of Technical Sciences - Departmant of Production Engineering, 2015, 63-66
ISBN
978-86-7892-722-5
Skup
12th INTERNATIONAL SCIENTIFIC CONFERENCE MMA 2015 - FLEXIBLE TECHNOLOGIES
Mjesto i datum
Novi Sad, Srbija, 25.09.2015. - 26.09.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Tool wear; feature extraction; signal processing
Sažetak
The paper presents a model of the developed fuzzy system for tool wear classification. The system comprises of three modules: module for data acquisition and processing, module for tool wear classification, and module for decision-making. The selected method for feature extraction is presented within the module for data classification and processing. The selected model for the fuzzy classifier and classification in experimental laboratory conditions is shown within the data classification and clustering. The proposed model has been tested in longitudinal and transversal machining operations.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
