Acoustic emission-based intelligent identification and dual early warning for coal fatigue failure under multistage cyclic loading
Luyi Xing, Chao Wang, Min Liang, Baoliang Zhang · 2026
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Description
Luyi Xing and colleagues build, in 2026, an acoustic early warning system for coal failure under repeated loading. Coal instability under multi-stage cyclic stress can trigger disasters, and existing warnings lack accuracy and timeliness.
In cyclic compression tests, five acoustic emission measures were recorded, with average event intensity marking sudden energy release changes. A hybrid neural model, tuned by a sparrow-inspired search algorithm, classified damage stages with high precision, and an isolation method supplied a warning coefficient for a dual alert system. Mining safety engineers gain a listening-based method that reads internal cracking sounds to warn before visible failure.
Catalog record
| CREATOR | Luyi Xing, Chao Wang, Min Liang, Baoliang Zhang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 64075 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |