A predictive maintenance procedure using pressure and acceleration signals from a centrifugal fan

This work describes a predictive maintenance procedure with a particular application to the diagnosis of unexpected events related to fluid-dynamics operating conditions in turbomachinery. The application of the procedure to a centrifugal fan is presented. The work includes an experimental study of the fan spectral behavior, revealing the characteristic frequencies of the different phenomena involved. Afterwards, a code has been developed which monitors on-line signals to detect any undesired event by comparing the levels of selected frequencies with those that obtain in normal operating conditions.