A learning system for fault finding has been constructed. This system contains many different types of knowledge, three ways to find faults and four ways to learn fault finding. The constructed learning system works for a class of fault finding problems. This class has been described in the paper. The developed system could be viewed as an architecture of a general learning system for fault finding. The system could also be used as a testbench of learning mechanisms. The experiences from this project indicates that it is possible to build a learning system when the structure of the knowledge is known. In this paper the following ideas will be discussed: How can the fault finding and learning techniques be integrated? How can the knowledge structure, fault finding mechanisms and learning mechanisms emerge with the help of a simulator and general mechanisms?