1. A system for fault prediction in a home network, the system comprising: a processor and a memory, the memory haying stored thereon: a context generator for generating context information based on status data collected in real time about components of the home network; a specification interpreter for generating knowledge rules for fault detection by using specifications of the components of the home network; a context analyzer for analyzing if the generated context information meet the generated knowledge rules to classify the context information into normal situation contexts and abnormal situation contexts; a context pattern learner for generating new knowledge rules based on the abnormal situation contexts and fault rules corresponding to the abnormal situation contexts; a knowledge rule database for storing and managing the knowledge rules and the new knowledge rules; and a fault predictor for analyzing a correlation between the knowledge rules or the new knowledge rules and the generated context information, thereby predicting faults to be generated.
1. A system for fault prediction in a home network, the system comprising: a processor and a memory, the memory haying stored thereon: a context generator for generating context information based on status data collected in real time about components of the home network; a specification interpreter for generating knowledge rules for fault detection by using specifications of the components of the home network; a context analyzer for analyzing if the generated context information meet the generated knowledge rules to classify the context information into normal situation contexts and abnormal situation contexts; a context pattern learner for generating new knowledge rules based on the abnormal situation contexts and fault rules corresponding to the abnormal situation contexts; a knowledge rule database for storing and managing the knowledge rules and the new knowledge rules; and a fault predictor for analyzing a correlation between the knowledge rules or the new knowledge rules and the generated context information, thereby predicting faults to be generated. 5. The system of claim 1 , wherein the context analyzer comprises: a context interpreter for interpreting the context information; a condition checker for analyzing if the interpretation results of the context information meet the knowledge rules; and a context classifier for classifying the context information into the normal situation contexts or the abnormal situation contexts depending on the analysis results from the condition checker, and providing the context pattern learner with the abnormal situation contexts and the fault rules corresponding to the abnormal situation contexts.