Rolling machine is an important mechanical equipment in the building materials industry. Its universal joints are prone to failures, and timely fault judgments are made to predict the occurrence of failures and perform effective maintenance, which is of great significance to the safety of enterprises. Among them, the universal joint coupling often occurs due to unbalanced transmission shaft, loose bolts, loose transmission shaft, and cross shaft damage. Rolling machine failures usually cause abnormal vibrations. By measuring the vibration response and extracting effective features, the operating status and deterioration trend of the equipment can be predicted in time, the problem take can be solved in time before failure to prevent greater losses. This paper studies the monitoring, diagnosis and analysis methods for the alignment faults of the universal joint of the roller press, analyzes the causes, mechanisms and phenomena of the alignment faults of the roller press, studies the extraction methods of the fault features, analyzes the fault diagnosis model and failure trend prediction method, and built a monitoring system for experimental verification. Experiments show that the designed data acquisition method can capture the vibration signal in time, and the analysis model can also analyze and identify the fault type based on the existing fault knowledge and rules.