An investigation on acoustic emission detection of rail crack in actual application by chaos theory with improved feature detection method
Review articleOpen access

Highlights•AE detection of rail crack is investigated in real noise environment of railway.•An improved method is proposed to increase the detection accuracy of crack signal.•Generation system of simulated crack signal is designed for nondestructive research.•NARX model is built to eliminate normal AE noises by Chaos theory.•The fused features are employed to suppress abnormal AE noises.

Request full text

References (0)

Cited By (0)

No reference data.
No citation data.
Join Copernicus Academic and get access to over 12 million papers authored by 7+ million academics.
Join for free!