The first version of the Britpip Cobprem System was built over the course of a two-year collaborative project. This collaborative project brought together five companies and two universities. The aim of the project was to automate an already successful, but time and labour intensive, machine condition analysis process, using vibration data from accelerometers installed on machines. Britpip’s task on the project was one of designing and building the software to automate the analysis of the vibration data, make decisions based on the outcome of that analysis, and display the resulting information in an easily digestible format.
During the course of the project, vibration sensors and data collectors were placed on several machines, each machine costing in excess of £1m. The subsequent data analysis work conducted on the project predicted many failures and saved the factories hundreds of thousands of pounds due to not having unscheduled downtime and the associated costs and wastage that causes.
Since the successful completion of the project, and since Britpip is the sole owner of the software, Britpip has continued to improve its software. The combination of this software with readily available hardware has created the unique, real-time, autonomous, condition-based, predictive maintenance system as it is today. This latest version of the system is currently undergoing testing with the aim for it to be readily available to wider customers by the end of the year.