Abstract: A system and method for detecting anomalies and identifying root causes of anomalies in a system are disclosed. The system includes anomaly detection agents trained to detect anomalies. The anomalies are known anomalies occurring in the system. The anomaly detection agents are interfaced with components of a tested system, and operate on one or more predetermined levels, such as hierarchical or threshold levels. The system also includes a root cause identification tool configured to identify potential root causes for anomalies occurring during actual operation of the tested system based on data from the anomaly detection agents.

Abstract: A system and method for detecting anomalies in a system are described. The system incorporates a diagnostic agent. The diagnostic agent identifies a current operational region of the system and determines current performance based on a local model of normal system performance in that region.

Abstract: A system for detecting anomalies includes a first hardware system and a first run-time environment. The first hardware system generates outputs. The first run-time environment has a bi-directional link to an integrated development environment. The first run-time environment includes a first control system, a first diagnostic agent, and a second diagnostic agent. The first control system controls the hardware system through control inputs to the hardware system. The first diagnostic agent detects anomalies in the hardware system. The second diagnostic agent detects anomalies in the control system.