The benefits for the end user are the abil- ity to run compressors for the optimum time, avoid unplanned downtime, plan main- tenance activities, and ultimately reduce running costs. Another benefit is the centralisation of repair and component records. Once installed, the system frequently replaces a scattered series of maintenance, repair, and inventory records that some opera- tors maintain – the typical ‘Excel on the side.’ In short, by using VISTRA, operators of reciprocating compressors can proac- tively manage potentially bad components and increase unit reliability, thus increasing compressor uptime. power of know-how combined with ai Triggering increases in compressor effi- ciency and reliability is not limited to a sin- gle solution. A multitude of possibilities are available, and the rise of new technologies brings even more ways to support opera- tors of reciprocating compressors. By uti- lising the data collected by VISTRA and combining it with sensor signals – both slow and fast – from the process, we can now use AI as a powerful tool to help understand both the present and future performance of compressors. Hoerbiger is now working on a research project utilising ‘first-principles’ AI to build an intelligent system to monitor component lifetime and predict compressor conditions. This will allow operators of reciprocating compressors to switch to condition-based maintenance while retaining a transparent insight into the safe and economic oper- ation of their assets. The benefit of this approach is the combination of reciprocat-
is readily available, which helps operators make quicker and better decisions. Errors and mistakes are minimised, and repair and maintenance quality are increased. AI is a powerful tool for combining and analysing data across processes, especially when combined with proper know-how about reciprocating compressors. Predictions made with the help of AI can provide a strong foundation for decisions on compressor maintenance, helping opera- tors better plan their interventions and thus increase compressor uptime and reliability. Hoerbiger is proud to offer two strong dig- ital solutions to support improvements to the repair and maintenance process, thus contributing to the increase in compressor reliability and efficiency. the rise of new technologies brings even more ways to support operators. we can now use aI as a powerful tool to help understand both the present and future performance of compressors
Figure 4 A heatmap of the system will highlight which cylinder is indicating a problem
ing compressor know-how with AI. Without a proper understanding of the complex workings of a reciprocating compressor, the AI cannot contribute to its full potential. The new Hoerbiger prediction tool will do just that, analysing the live data stream based on exceptions. If all is well, the customer will not be bothered. When there is an excep- tion or an anomaly, they will be informed and guided into a three-step approach. The first step is a heatmap of the system showing which cylinder is indicating a prob- lem ( Figure 4 ) and what is happening at the component level. The system shows a pre- diction of the component’s remaining life- time, the probability of failure, and the time remaining to take action. The second step leads to information about the possible root cause and sug- gestions on how to mitigate the issue. In
the third step, the underlying data and the analysis are presented for those who want to dig deeper. In the complex workings of a reciprocating compressor, Hoerbiger’s prediction system will create transparency down to the component level based on its deep knowledge of reciprocating compres- sors combined with modern technology. This helps end users – even those who are not reciprocating compressor experts – run their machines more safely and more efficiently. It will also let them plan main- tenance interventions without the risk of unscheduled shutdowns. Conclusion Digital solutions are finding their way into the reciprocating compressor industry. End users are already benefitting greatly from the resulting efficiency gains. Information
Contact: magnus.terner@hoerbiger.com
TCM promotes carbon capture as a tool for a cleaner and greener future by bridging technology developers, science, and industrial application of CO 2 capture technologies. Our main task is to test, verify and demonstrate different technologies related to cost-effective and full-scale industrial CO 2 capture.
www.tcmda.com
23
Powered by FlippingBook