The present paper is a review of the recent research work on the methodology for predicting the occurrence of failure events for process equipment at home and abroad.The focal point is the study progress and some effective cases in practice

which is based on the principles of approximate and plausible reasonings for uncertain parameters of fuzziness

quantitative metallographic technique and artificial neural networks method.The prediction involves failure probability

serious ness of failure events

damage of structural materials

remaining life and safety

etc．