Over the past 20 years, there has been much work in the area of model-based diagnosis (MBD). By this we mean diagnosis systems arising from Computer Science or Artificial Intelligence approaches where a generic software engine is developed to address a large class of diagnosis problems [1], [2]. Later, models are created to apply the engine to a specific problem. These techniques are very attractive, suggesting a vision of machines that repair themselves, reduced costs for all kinds of endeavors, spacecraft that continue their missions even when failing, and so on. This promise inspired a broad range of activity, including our involvement over several years in flying the Livingstone and Livingstone 2 on-board model-based diagnosis and recovery systems as experiments on two spacecraft [3], [4], [5], [6], [7]. While a great deal was learned through a variety of applications to simulators, testbeds and flight experiments, no project adopted the technology in operations and the expected benefits have not yet come to fruition.
Costs and Benefits of Model-based Diagnosis
2008-03-01
4284994 byte
Conference paper
Electronic Resource
English
Costs and benefits of model-based diagnosis
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