Fuzzy inference system-based noise prediction models for opencast mines

Abstract

In this article, fuzzy inference system (FIS)-based noise prediction models were developed for predicting far field noise levels because of the operation of specific set of mining machinery. Mamdani and Takagi–Sugeno–Kang (T–S–K) FISs were used to predict the machinery noise in opencast mines. The proposed models were designed with the VDI-2714 noise prediction model that is commonly used in the mining industry. From literature review, it was found that VDI-2714 gives noise prediction in dB (A) not in 1/1 or 1/3 octave bands as compared with other prediction models, e.g. CONCAWE, OCMA, the environmental noise model, etc. Hence, it was taken due to simplicity, for design of fuzzy-based noise prediction models for the mining industry. From the present investigations it was observed that the T–S–K fuzzy model gives better noise prediction than the Mamdani fuzzy model.