Abstract: This paper conducts statistics about the equipment failures affecting unit production that occurred in 31 refining enterprises of a large petrochemical group company from 2019 to 2021. And the scope of the statistics covers more than 500 sets of refining units in 11 major categories. Big data analysis is conducted from multiple dimensions such as time, equipment, device, failure type, failure strength as well as management and technology through sorting out the faults. The paper summarizes the laws and causes for the equipment failures, and puts forward suggestions and measures to reduce equipment fault rate.

Key words: refining equipment, failure distribution, data analysis, measures