Fault diagnosis of the mine ventilation system based on OCKIELM
To address the difficulties in obtaining fault samples from mine ventilation systems and the lack of real-time online diagnostic theories, a method combining One-Class Kernel Extreme Learning Machine (OCKELM) with incremental learning is proposed for online fault diagnosis of sequentially arriving s...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-02-01
|
| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0251808 |