Dijagnostičke metode i kriteriji za ocjenu elektromehaničkog stanja asinkronog stroja

scientific master's theses

• Author: Alan Miletić
• Mentor: Drago Ban (mentor)
• Committee member: Ivan Gašparac (predsjednik povjerenstva)
• Committee member: Drago Ban (član povjerenstva)
• Committee member: Mateo Milković (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Electric Machines, Drives and Automation); Zagreb
• Defense date and country: 2002-07-03, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering; Electromechanical Engineering
• Universal decimal classification (UDC): 621.3 - Electrical engineering

Abstract

U ovom je magistarskom radu dan kratki opis tipičnih pogonskih kvarova asinkronih kaveznih motora većih snaga, te kratki pregled najčešće primjenjivanih metoda tehničke dijagnostike za otkrivanje navedenih kvarova. Korištenjem jednog komercijalno dostupnog programskog paketa laboratorijski su razvijene aplikacije za dijagnostiku stanja kaveznog rotora spektralnom analizom statorske struje, signala osovinskog napona te signala napona induciranog aksijalnim rasipnim tokovima izvan kućišta statora. Provjera izrađene aplikacije je napravljena tako da su namjerno izazvani različiti kvarovi, a potom uspoređivani rezultati dijagnostike stanja ispravnog i namjerno oštećenog motora. Razvijene su aplikacije primijenjene na dijagnostiku kvarova asinkronog kaveznog motora u laboratorijskim uvjetima (motor 22 kW) i u stvarnim uvjetima industrijskog elektromotornog pogona (motori 1900 kW, 500 kW, 355 kW, ukupno 12 strojeva). Pokazalo se još jednom da je najpouzdanija dijagnostička "on-line" metoda ona koja se bazira na spektralnoj analizi statorske struje motora. Analize signala osovinskog napona i rasipnih tokova izvan motora mogu biti korisne i za otkrivanje drugih kvarova u motoru, naročito onih koje se odnose na stator. Primjenom razvijene aplikacije za dijagnostiku stanja asinkronih motora napajanih preko pretvarača frekvencije i napona se otkrilo da je dijagnostika kvara otežana i manje pouzdana zbog toga što se u spektru statorske struje i svim drugim signalima pojavljuju dodatni parazitni harmonički članovi uzrokovani primjenom pretvarača frekvencije.

Abstract (english)

This master thesis gives a short description of typical induction motor operational faults and an analysis of the usually applied methods for the technical diagnostics of these motor faults. By using a commercially available software program new applications for motor diagnostics based on motor current signature analysis, analysis of external search coil voltage induced by leakage flux and shaft voltage signal analysis have been developed. The developed application was checked by deliberately inducing various failures and then by comparing the results of the diagnostics of the conditions of a properly operating and the deliberately damaged engine. The developed applications were applied to the several induction motor operational faults in laboratory conditions (22 kW induction motor) and to the industrial drives in actual condition (1900 kW, 500 kW and 355 kW induction motors). Once more it was proven that the most reliable on-line method is the one based on motor current signature analysis. The shaft voltage signal and external search coil voltage signal analysis can be used to diagnose other motor failures, especially those related to the stator winding. By using the developed application for diagnosing failures in induction motors fed from frequency converters and voltage it was proven that the fault diagnostics is more difficult and less reliable due to additional parasite harmonic members in current spectrum and all the other signals, caused by the application of the frequency converter.

• Keywords: Kvarovi asinkronog stroja; dijagnostika; spektralna analiza statorske struje; analiza rasipnih tokova; analiza napona osovine; frekvencijski pretvarač
• Keywords (english): Induction motor faults; diagnostics; motor current signature analysis; leakage flux analysis; shaft voltage analysis; frequency converter
• Language: croatian
• URN:NBN: urn:nbn:hr:168:908099
• Study programme: Title: Postgraduate master programme in electrical engineering; Study programme type: university; Study level: postgraduate; Academic / professional title: Magistar znanosti elektrotehnike (Magistar znanosti elektrotehnike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-04-26 13:23:43