A major issue today is downtime. For complex businesses, downtime means much more than a simple inconvenience. The cost of unplanned interruptions, the impact of unforeseen failures, the effect of unexpected breakdowns can result in significant business losses.
ABB Ability™ Genix System Anomaly Detection
Studies suggest that only 18% of assets have an age-related failure pattern. Other failures are due to the impact of a related asset and therefore analysis of a complete system of assets is essential.
The System Anomaly Detection Application, which is part of the ABB Ability™ Genix Industrial Analytics and AI Suite, is designed to detect unusual and anomalous behavior from process streaming data. It then uses Artificial Intelligence / Machine Learning (AI/ML) methods to support dynamic decision-making. It addresses the needs of industry to continuously monitor changes in pattern across operational and business data.
The value proposition of performing anomaly detection is based on dynamic thresholds to ensure detection of an anomalous condition before alarm limits. Re-calibration of dynamic thresholds for critical tags happens at shorter intervals, thereby mitigating the risk of false positives. In essence, functionalities in the application are focused on reducing unscheduled trips, increasing plant availability, avoiding process upset condition and increasing operator response ability.
