Conference
Sep 2026
Early fault identification method for coal mill in thermal power units based on machine acoustic signature and deep neural network fusion
As one of the most safety- and efficiency-critical auxiliary machines in thermal power units, the running condition of a coal mill has a direct bearing on the stability and economy of the whole unit. Conventional diagnostic schemes, however, tend to respond too late and to raise too many false alarms. To address these...
Jianwei Yang, Ke Tang, Jie Lei et al.
· International Conference on... · 0 citations