eCMS

WindESCo integrates a dynamic DAQ system built upon proven ABB technology into wind energy systems, enhancing turbine reliability through proactive monitoring and advanced analytics. eCMS leverages high-frequency data collected by GeneratorSense - sampling up to 100kHz - to capture transient events and subtle irregularities that conventional systems miss. These advanced sensors detect early signs of rotor bar damage, magnetic wedge loosening, winding damages, stator and rotor subsystem integrity. Combined with machine learning and physics-based models, this real-time data enables predictive maintenance, minimizing downtime and extending the life of critical components.

WindESCo's Generator eCMS uses advanced signal-based analysis to interpret subtle changes in high-resolution electrical data—often the earliest indicators of major failures. This approach detects current imbalances, irregular patterns, and harmonic distortions in generators and converters. By identifying early warning signs like overheating, insulation breakdown, or rotor/stator issues, as well as converter risks such as capacitor wear, IGBT faults, and cooling inefficiencies, operators gain the insights needed to take action before problems escalate.

WindESCo’s physics and engineering first principle based AI-powered analytics continuously learn from both historical and real-time data to predict failures with increasing accuracy. By recognizing patterns linked to previous generator issues, the system adapts to different turbine models, grid conditions, and environmental stressors. Over time, these models reduce false alarms and sharpen diagnostic precision—driving smarter, more reliable actionable O&M inputs.

WindESCo's secure communication network enables an efficient and secure data pipeline to the cloud. Secure data connections to the cloud rely on encrypted communication protocols to ensure data privacy and integrity during transfer. Implement strong access controls, encrypt data both at rest and in transit, and leverage real-time monitoring to detect and respond to threats.