Abstract:
Hammering test is a popular non-destructive testing method which automation is highly demanded for efficient diagnosis of concrete structures. The objective is to correct...Show MoreMetadata
Abstract:
Hammering test is a popular non-destructive testing method which automation is highly demanded for efficient diagnosis of concrete structures. The objective is to correctly determine if a hammering sound originated from a defect in the structure or not. In this paper, we present an unsupervised learning approach to automation of hammering test for diagnosis of concrete structures among others. Sound samples are clustered using fuzzy clustering while incorporating physical spatial information and Mel-Frequency Cepstrum is used in order to reproduce human hearing when conducting hammering test. Experiments using concrete test blocks showed good results, both in single and multiple defects cases.
Date of Conference: 11-14 December 2017
Date Added to IEEE Xplore: 05 February 2018
ISBN Information:
Electronic ISSN: 2474-2325