Collaborating human cognition and intelligent maintenance systems

Publicerad: 14 augusti 2017

The overall aim is to develop methodologies for collaborating two-way cognition between intelligent maintenance systems and human operators.

Sponsors: Trafikverket/JVTC

Researchers: Prasanna Illankoon, Uday Kumar (PL), Phillip Tretten (PL)

Duration: 2016-2020

The overall aim is to develop methodologies for collaborating two-way cognition between intelligent maintenance systems and human operators. First phase of the project critically assessed the significance of different types of human cognition in the maintenance domain. Critical Decision Method is used to categorize cognitive involvement and their effectiveness at different phases of anomaly detection, cause diagnosis, prediction and identifying prescriptions. Second phase investigates various sources for human cognition about machine behavior. Role of human sensors, experience, environmental signals and their combinations to produce both explicit and implicit knowledge about machines are investigated using simulation studies. Final phase develops a model to represent how intelligent maintenance systems can be designed to facilitate human cognition about unique machine behaviors and how intelligent maintenance systems can learn from what human are able to learn. It is expected to assess the design concepts using psychophysical measures. The model for collaboration has been developed and published.

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