Gas 2023 Issue

Real-time analysis Anomalies are detected in real-time and, if necessary, notifications are sent immediately. This advanced use of machine data helps improve the operation and efficiency of the compressor. There is also an opportunity to monitor any gas leakage and take appropriate action when necessary. This helps prevent GHG emissions and supports sustain - ability goals. Advanced analytics can also play a crucial role in improv - ing the accuracy of predicting the service life between major overhauls (see Figure 3 ). With increased data availability and improved analytics, advanced algorithms can anal - yse and predict maintenance needs, reducing unplanned downtime and maximising productivity. This can enable operators to extend maintenance intervals and, for marine vessels, calculate how many voyages can be made between service interventions. The system can also improve safety by identifying poten - tial failure points and enabling owners to take corrective action before a failure occurs. It is also possible to make comparisons between similar compressors in the fleet, leading to improved fleet performance. Further analyses are completed with anonymised data, enabling operators to benefit from a global population. Example case study A chemicals company in Malaysia had a process gas com - pressor facing heavy vibrations. The company was in need of prompt support. However, a technical expert could not be deployed on-site immediately due to global travel restrictions and the requirement to apply for a professional visit pass (PVP). In this scenario, Burckhardt Compression provided remote maintenance support. Burckhardt Compression supplied a tablet and head - phones together with its remote support solution. The chemicals company was able to communicate and exchange valuable information with a compressor expert in real-time. The senior field service representative (FSR) supported the plant technicians remotely and supervised the investigation to find the root cause of the vibration. The operator was guided to resolve the issue quickly and efficiently, with the OEM expert always available to answer any technical queries. The proprietary UP! Remote Support solution facilitated immediate support, quick, and easy access to the senior FSR, as well as acknowledged cost and time savings. The ability to use the tablet in ATEX Zone 1 potentially explo - sive atmospheres ensured downtime was minimised, and the chemicals company operators were happy with the outcome, appreciating the expert’s support during a chal - lenging time. The future Digital services are set to expand over the coming years and more tools will be developed with compressor opera - tors that can improve equipment performance. The unique combination of the expertise of an OEM, the ability to deliver field maintenance services, and advanced analytics offers operators a turnkey solution from a single source.

as supporting pre-inspections and monitoring of mainte- nance work without the required expert having to attend in person. The connected compressor For operators with specific requirements, solutions are developed with operators who have specific requirements in terms of equipment optimisation, having delivered con - dition monitoring systems, such as Prognost, for over 25 years. The advent of more sophisticated digital solutions has given rise to a digital tool that continuously analyses all the data points from a compressor using advanced analytics. The OEM uses its analytical capabilities to develop cus - tomised algorithms for performance optimisation, iden - tification of optimal service time windows, component health status, and the prediction of the rest of useful life of critical wear and tear parts. Advanced analytics combined with OEM knowledge and IoT data are the foundation of its customer-centric solutions for increasing compres - sor uptime, reducing the risk of unplanned downtime, and improving overall service efficiency and compressor performance. The goals of this system are to help facilities optimise the use and productivity of their compressors, actively manage and increase uptime and enhance maintenance activities. By measuring relevant values, such as vibrations, oscilla - tions, dynamic pressures, and temperature directly at the compressor, the system can accurately predict necessary maintenance work using advanced analytics. algorithms can analyse and predict maintenance needs, reducing unplanned downtime and maximising productivity Figure 3 Advanced analytics are used to increase compressor uptime and improve overall efficiency and performance With increased data availability and improved analytics, advanced

Gas 2023