Outlier Detection Via Estimating Clusters

The Outlier Detection Via Estimating Clusters (ODVEC) software provides an efficient method for real-time or offline analysis of multivariate sensor data for use in anomaly detection, fault detection, and system health monitoring. ODVEC uses models automatically derived from archived system data to identify unusual, out-of-family data samples (outliers) that indicate possible system failure or degradation. It employs novel techniques to efficiently calculate the degree of deviation of current system behavior from a range of previous, similar nominal operations.