Fault detection, isolation and recovery is an important aspect of spacecraft operations especially in case of unexpected faults and failures. Traditional fault diagnosis techniques on-board spacecraft are very conservative and do neither support context sensitive on-board decision-making nor goal-oriented behaviour. This paper argues that the rapidly increasing processing power enables the use of innovative methods although they might need more resources than were available in the past. As a promising method, the cognitive automation approach from the unmanned aerial vehicle domain is identified and a respective case study to investigate the suitability in spacecraft applications is proposed.    «

Fault detection, isolation and recovery is an important aspect of spacecraft operations especially in case of unexpected faults and failures. Traditional fault diagnosis techniques on-board spacecraft are very conservative and do neither support context sensitive on-board decision-making nor goal-oriented behaviour. This paper argues that the rapidly increasing processing power enables the use of innovative methods although they might need more resources than were available in the past. As a pro...    »