MEGA PURNAMA SARI, 081113068 (2018) IMPLEMENTASI METODE FUZZY LOGIC UNTUK MENENTUKAN KUALITAS MINYAK TRANSFORMATOR PADA SISTEM PEMBANGKIT LISTRIK. Skripsi thesis, UNIVERSITAS AIRLANGGA.

	Text (ABSTRACT) KKC KK MPF.06-19 Sar i abs.pdf Download (27kB)
	Text (FULLTEXT) KKC KK MPF.06-19 Sar i.pdf Restricted to Registered users only until 12 February 2022. Download (1MB) | Request a copy

Abstract

Transformer oil is a liquid insulating material which is very important in the performance of a transformer. The identification of the quality of transformer oil is the standard procedure carried out in the maintenance process because the age of the transformer depends on the conditions of the insulation. To facilitate the maintenance process, a special design method is needed to determine the dentification of transformer oil quality using the fuzzy logic method. There are several methods of membership in the fuzzy logic function in the matlab toolbox. In the study using the mamdani method. Two input indicators are used as the basic standards for the feasibility of transformer oil conditions where this standard refers to the SPLN standard and is also an expert in the field of transformer insulating oil. From the results of the study concluded that the membership fuzzy logic function is able to identify insulator oil with accuracy of 77%.

Actions (login required)

View Item