2 projects
PdmContext
Context is used here to provide a better understanding of how changes in data affect anomaly detection task. Essentially, Context represent the data (CD), existing in a time window, and their relationships (CR), where the relationships are extracted using causal discovery between the data (the causal discovery method can be user defiend).
PdmModule
Predictive Maintenance Module for applying a modified Xgboost and Pair detection Techniques in streaming data.
