Jianwei Yang

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...