Research on the machine learning method in fault diagnosing expert systems
Chen Xin · Journal of Xi'an University of Architecture & Technology · 2000
Machine learning is playing a more and more important role in fault diagnosing expert systems. Three kinds of knowledge in diagnosing systems are introduced, namely the experience knowledge, causal knowledge and the first law knowledge. Then, we analyze the role of a few existing learning and, on the basis of the above discussion, divide the learning in diagnosing expert systems into three parts, i.e.simple learning, interactional learning and independent learning. Finally the frame of fault diagnosis and machine learning is given and the viewpoint that diagnosis and learning are an entity is explained.