Unsupervised learning approach to automation of hammering test using topological information
نویسندگان
چکیده
منابع مشابه
Unsupervised learning approach to automation of hammering test using topological information
In this paper we present an online unsupervised method based on clustering to find defects in concrete structures using hammering. First, the initial dataset of sound samples is roughly clustered using the k-means algorithm with the k-means++ seeding procedure in order to find the cluster best representative of the structure. Then the regular model for the hammering sound, the centroid of this ...
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ژورنال
عنوان ژورنال: ROBOMECH Journal
سال: 2017
ISSN: 2197-4225
DOI: 10.1186/s40648-017-0081-7