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Analysis of the Poisson Regression Model in Multiple Equipment Failure Factors and Intelligent Evaluation

Modern society has increasingly higher requirements for the reliability of equipment. Many equipment failures present the characteristics of sporadic, sporadic, and weak regularity of time and frequency, which brings difficulties to equipment reliability evaluation. Poisson regression is a generalized linear model, which is especially suitable for analyzing the count data with sporadic and sporadic characteristics of the response variable. It can quantitatively analyze the relationship between multiple influencing factors and the counted response variable. And applying it to equipment reliability evaluation has theoretical and practical significance.