Construction of Intelligent Fault Diagnosis System for Pumping Station Based on Fusion Algorithm

The purpose of this article is to study and implement an intelligent fault diagnosis system of pumping station based on fusion algorithm, so as to improve the accuracy and efficiency of fault diagnosis of pumping station. Firstly, this article points out the limitations of traditional fault diagnosis methods, such as insufficient information from a single sensor and low diagnostic accuracy. Then this article designs and implements an intelligent fault diagnosis system for pumping stations, which includes data acquisition, preprocessing, feature extraction, fusion algorithm diagnosis and user interaction. Among them, the fusion algorithm adopts the multi-modal information fusion method based on deep learning, and realizes intelligent identification and classification of pump station faults by comprehensively analyzing the characteristic parameters from different sensors. The experimental results show that the fusion algorithm shows high accuracy in fault diagnosis of pumping stations, and the false alarm rate and false alarm rate are low. The conclusion is that the intelligent fault diagnosis system of pumping station based on fusion algorithm has high practicability and reliability, and can provide strong support for the operation and maintenance management of pumping station.