Abstract: Many different causes and elimination methods for airplane faults may be met during the maintaining process, however a selection can't be made. Aiming at this problem, adopting the fuzzy theory of comprehensive evaluation and basing on the statistics of former empirical data of maintenance, the authors present a priority sorting algorithm to make selection from various fault causes and elimination methods. Thus, the key problem on the application of the information from airplane faults diagnosis can be solved, and the speed of eliminating fault can be improved. The evaluation algorithm has already been put into the practice of maintenance airplane.

Key words: method of elimination of airplane faults, description of airplane faults, fuzzy evaluation algorithm, priority sorting, repository