What is Predictive Maintenance Software?
Today, maintenance repairs can be expensive and time consuming, therefore it’s important to put processes in place in order to minimise and prevent them. Predictive Maintenance Software uses condition monitoring tools to monitor the performance and condition of equipment and determine when maintenance should be performed. The software predicts possible defects and estimates when they require fixing before a likely failure. As part of an organisations’ maintenance strategy, predictive maintenance differs from preventative maintenance whereby routine repairs and maintenance are scheduled to take place.
Combined with the Internet of Things (IoT), predictive maintenance software evaluates the performance of an asset providing information in real time. This information is provided through capturing data from IoT enabled sensors. This data is then analysed and actioned to prevent failures occurring. Predictive maintenance sensors include monitoring equipment which can detect a variety of things such as vibrations, temperature or humidity.
What value does Predictive Maintenance Software provide for your organisation?
Organisations can use the data driven from sensors to detect whether assets require attention, ensuring efficient service delivery before failures occur.
This visibility enables increased cost efficiencies by reducing the amount of downtime and labour required to fix equipment while improving safety amongst your workforce.
With access to real time information, your workforce can detect the condition of assets in advance improving overall productivity and capacity.
Customers can benefit from an improved service delivery with issues being prevented before they occur.