Burckhardt Compression, a pioneer in the compression industry, is leading the way in maximizing equipment reliability through innovative digital solutions. The company has introduced a cutting-edge AI-based system designed to predict the remaining useful lifetime (RUL) of key compressor components, ensuring higher equipment availability and reduced operational costs.
With 180 years of expertise in compressor manufacturing, Burckhardt Compression’s latest development utilizes real-time data and advanced predictive algorithms to improve compressor performance. The system analyzes both historical and current operational data to forecast the best time for routine maintenance, ultimately extending the Mean Time Between Failures (MTBF).
AI-Driven Predictive Maintenance
The heart of Burckhardt Compression’s innovation lies in the predictive capabilities of its software. By assessing the condition of critical components, such as valves and packings—which are often the primary cause of unplanned downtime—the system helps operators schedule maintenance in a way that minimizes disruptions.
The solution, known as “Predictive Intelligence,” integrates seamlessly with the company’s PROGNOST®-NT monitoring and diagnostic system (version 21). The system uploads data from various signal analyses to a secure Azure cloud, where it is continuously processed and converted into actionable insights. Operators receive reports that indicate the optimal maintenance windows, avoiding unforeseen downtime and ensuring reliable compressor operation.
Optimized Maintenance for Extended Equipment Lifespan
This AI-driven system enables operators to align compressor maintenance with other scheduled procedures, optimizing resource allocation and reducing the need for unscheduled repairs. By predicting the optimal maintenance intervals, the system maximizes the lifespan of key components without compromising the compressor’s reliability.
Burckhardt Compression’s Predictive Intelligence represents a significant advancement in digital solutions for reciprocating compressors, combining deep engineering knowledge with state-of-the-art AI technology. The result is a smarter approach to maintenance that extends the service life of compressors, reduces downtime, and lowers total operational costs.