Open AccessResearch on Noise Diagnosis for Sweeping Vehicle Based on ANFIS
Author(s) -
Jiaxuan Wang,
Zhuang Li,
Zhenghong Xu,
Zhifu Zhang,
Shuang Xia,
Qibai Huang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/4/042061
Subject(s) - adaptive neuro fuzzy inference system , noise (video) , inference system , computer science , artificial neural network , inference , artificial intelligence , machine learning , fuzzy logic , fuzzy control system , image (mathematics)
Aiming at the lack of method on noise diagnosis for sweeping vehicle, this paper proposes a vehicle noise diagnosis scheme based on adaptive fuzzy neural inference system (ANFIS). The paper explains the principle of ANFIS in the field of noise diagnosis, and performs a noise test on a sweeping vehicle. The spectrum analysis is utilized to obtain the data for ANFIS network training, inference and verification. Combined with ANFIS theory, the noise source distribution of the sweeping vehicle is inferred and verified. The results show that the noise source diagnosis method based on ANFIS is feasible and effective for the sweeping vehicle. Furthermore, the method can provide a reference for the similar situation where only parts of the noise sources are known.