The invention discloses a knowledge mining method for an intelligent IETM fault maintenance record text. The knowledge mining method comprises the steps of 1, collecting equipment fault maintenance record text data; 2, establishing an equipment fault word bank; 3, obtaining a lexical item document matrix; 4, generating a theme document matrix; 5, training a label feature matrix; 6, constructing aneural network; and 7, classifying the equipment fault maintenance record texts. According to the method, the LDA topic model is used for extracting lexical item document matrix features; obtaining label feature matrix, providing a classification label of the fault maintenance record text; equipment fault maintenance record texts can be quickly classified; in addition, a pooling layer in the convolutional neural network is replaced with a circulating layer, the convolutional layer in the convolutional neural network has the advantage of weight sharing, the circulating layer has the advantage of solving the problem of long-term dependency of texts, and sufficient knowledge data is provided for a fault maintenance auxiliary system in an intelligent IETM platform.