Signal identification in acoustic emission monitoring of fatigue cracking in steel bridges

摘要

Signal identification including noise filtering and reduction of acquired signals is needed to achieve efficient andaccurate data interpretation for remote acoustic emission (AE) monitoring of in-service steel bridges. Noise filtering mayensure that genui