Analysis of Noise Emitted from Electrical Machines Using TOPSIS Technique

Abstract

This paper studies the noise emitted from different types of electrical machines having various rating. Noise related parameters like LAeq (Equivalent continuous A- weighted sound level), LAE (Sound exposure level), LAV (Average sound level) and TWA (Time weighted average level) are measured in a machine laboratory. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), an important MCDM (Multi Criteria Decision Making) tool, is used to identify the best alternative. After analyzing the noise exposure parameters from the electrical machines by TOPSIS technique, it is found that the DC Generator, Wound Rotor Induction Motor, and DC Shunt Motor are emitting maximum noise and are set as the worst machine for controlling the noise, causing environmental pollution in full order. Index Terms—Noise dosimeter, LAeq (equivalent continuous A-weighted sound level), LAE (Sound exposure level), LAV (Average sound level), TWA (time weighted average level), MCDM (multi criteria decision making), AHP (analytical hierarchy process), TOPSIS (technique for order preference by similarity to ideal solution).