SymphonyAI
109 Case Studies
A SymphonyAI Case Study
Global Industrial Gases Manufacturer partnered with SymphonyAI to address the risk of unplanned downtime in its critical rotating equipment, especially a large process air compressor driven by a 20MW synchronous motor. Despite existing condition-based monitoring, the plant lacked a reliable way to predict impending failures, and outages could lead to hours of downtime and production losses of up to $0.5MM per event.
SymphonyAI implemented APM 360, combining real-time process and vibration data with AI, IIoT, and FMEA-based machine reasoning to detect incipient anomalies, identify apparent causes, and recommend corrective actions. The solution flagged a cooling water system issue that could have tripped the motor and compressor, helping engineers avert downtime, improve reliability, and achieve fault detection accuracy greater than 85% with an impact of up to $0.5MM saved per avoided event.
Global Industrial Gases Manufacturer