The adoption of robust technologies with advanced diagnostics, providing predictive maintenance functions can positively effect both asset availability and utilisation, which in turn improves plant performance and efficiency.
Predictive maintenance is the digital, intelligent approach to maintenance as it uses analytics based on diagnostic data from each asset to predict when assets require maintenance or indeed are about to fail. Armed with this knowledge asset maintenance can be planned around production schedules to optimise both availability and utilisation and avoid unnecessary maintenance shutdowns.
Plant level automation control devices such as PLCs, variable speed drives (VSDs) and human machine interfaces (HMIs) come with a host of self-diagnostic information, providing indication of the status of these devices which is an essential part of a predictive maintenance strategy. However, it is the information they can provide about the assets they are controlling which is of real value. Early detection of asset ageing and wear is crucial.