The present tool and method relate to device fault detection, diagnosis and prognosis. More
particularly, the present tool and method store in a database a plurality of measured …

A machine fault diagnosis system is provided. The system combines a rule-based predictive
maintenance strategy with a machine learning system. A simple set of rules defined …

(57) ABSTRACT A system for condition monitoring and fault diagnosis includes a data
collection function that acquires time histories of selected variables for one or more of the …

(57) ABSTRACT A system for condition monitoring and fault diagnosis includes a data
collection function that acquires time histories of selected variables for one or more of the …

A system for condition monitoring and fault diagnosis includes a data collection function that
acquires time histories of selected variables for one or more of the components, a pre …

Automated estimation that a hardware or software change is correlated with one or more
problem events. In addition to identifying that a change has occurred, one or more problem …

A system for condition monitoring and fault diagnosis includes a data collection function that
acquires time histories of selected variables for one or more of the components, a pre …

A method for generating procedures includes receiving a log of a troubleshooting session.
The log includes device data including a sequence of detected operations performed on the …

(57) ABSTRACT A method and system for improving an automated hardware apparatus
failure prediction system is provided. The method includes automatically retrieving …

A generalized pattern recognition is used to identify faults in machine condition monitoring.
Pattern clusters are identified in operating data. A classifier is trained using the pattern …