Abstract: Methods and systems are provided for generating a maintainer troubleshooting tree from the content of a digitally stored fault model of a complex system in real time. The method comprises retrieving all failure modes from a fault model of the complex system for a specific corrective action. The method then receives symptoms from sensors monitoring the complex system in real time and generates a symptom pattern and an associated symptom hash from the received symptoms. The method creates san ambiguity group from the retrieved failure modes. The method further retrieves all repair procedures and test procedures related to the ambiguity group of failure modes, creates a troubleshooting tree for the ambiguity group by ranking each repair procedure and test procedure, and retrieves all technical references encountered while creating the trouble shooting tree. The method then compiles and renders the troubleshooting tree and the references into a user perceivable document.

Abstract: Methods and systems are provided for generating a maintainer troubleshooting tree from the content of a digitally stored fault model of a complex system in real time. The method comprises retrieving all failure modes from a fault model of the complex system for a specific corrective action. The method then receives symptoms from sensors monitoring the complex system in real time and generates a symptom pattern and an associated symptom hash from the received symptoms. The method creates san ambiguity group from the retrieved failure modes. The method further retrieves all repair procedures and test procedures related to the ambiguity group of failure modes, creates a troubleshooting tree for the ambiguity group by ranking each repair procedure and test procedure, and retrieves all technical references encountered while creating the trouble shooting tree. The method then compiles and renders the troubleshooting tree and the references into a user perceivable document.