PROGNOST®-NT is the world’s leading diagnostic system that uses Neural Networks and Deep Learning technology for automated Failure Pattern Recognition of Rotating Equipment.
Crosshead vibration initiated immediate shutdown of the machine preventing consequential damage
Residual abrasive contaminants in new process units can cause rapid wear of rider bands in reciprocating compressors. Those abnormal wear conditions can be detected at an early stage by continuously monitoring the proximity measures. As a result, costly damages to the compressors can be avoided.