A malfunction in a systems (the cause) will generate one or more manifestations (the effects). The reasoner is an algorithm that uses the many-to-many relationship between causes and effects (as captured in a TEAMS model) to identify the root cause(s) that best fits the observed effec
A TEAMS model captures the many-to-many mapping between causes (things that fail, i.e., faults) and effects (things that detect failures, i.e., tests and symptoms). If you know these relationships, you can import them in as a spreadsheet. Otherwise, you lay out the system and its inte
QSI TEAMS is a model based approach, as opposed to experience, history or case based (all of which require accurate legacy data). QSI TEAMS does not require legacy data. It can produce accurate results immediately. It excels when an error or symptom has many causes or faults manifest
