Predictive Maintenance techniques are designed to help determine the condition of equipment in order to predict when maintenance should be performed. The approach promises cost savings over routine or time-based preventive maintenance, because tasks are performed only when required. The main promise of PdM is to allow convenient scheduling of corrective maintenance, above all to prevent unexpected equipment failures. Therefore the key is “the right information in the right time”.
Some of the key components required for implementing PdM are data collection and processing, early error detection, prediction from time to failure, maintenance planning and resource optimization. PdM is also one of the driving forces for improving productivity and one of the ways to achieve “just in time” in production.
Oil condition monitoring as key for Predictive Maintenance
PdM evaluates the condition of installations by performing periodic (offline) or continuous monitoring (online) of installation conditions. The oil condition of the installation is one of the most important indicators for determining the overall installation condition. By continuously monitoring the oil condition, initial signs of wear, water, diminution of lubricating properties and pollution is noticed. It is only because of this that it is possible to carry out the ultimate goal of maintenance at a scheduled time when the maintenance activity is the most cost-effective and before the equipment loses performance.
By detecting deviations in the trend of the oil condition, it is possible to reduce the failure probability. This allows timely maintenance. Maintenance is better planned, and unwanted downtime will be prevented.
– Increased asset availability and reliability
– Reducing operational costs
– Shorter planned downtimes
– Improved health safety and environment compliance
– Increasing business performance