Industrial Predictive Maintenance

Ceteck has developed containerized algorithms to detect issues in large industrial assets based on vibration data (accelerometer sensors).

These are cutting-edge machine learning algorithms that leverage mathematical approaches—specifically, the analysis of variations in Brownian noise—never before applied in industrial settings. This allows for the early detection of failures in heavy and high-value assets, even before traditional alarms are triggered.