Angle personnel have experience with designing Integrated Systems Health Management (ISHM) frameworks, particularly for unmanned autonomous vehicles, that are fully compatible with the principles of Condition Based Maintenance Plus (CBM+).

While any ISHM system must be able to monitor for and detect anomalies, and identify and diagnose them, on an unmanned autonomous vehicle the ISHM must also be able to communicate prognostic information and alternative options that preserve as much of the functionality as possible to the vehicle command and control system, in addition to the remote human operator.

When the necessary background knowledge is available, diagnosis and prognosis use models based on the physics of failure; otherwise some artificial intelligence machine learning and pattern recognition must be built into the ISHM so that it can learn to distinguish trends away from the system’s normal operating state, and what those trends foretell about remaining useful life.