Bearing intelligent diagnosis method and system based on adaptive aggregation views

• Main Authors: LI MENG, LI XINMING, YAO JIACHI, GAO ZHIKANG, DAI WEIJIE, WANG YANXUE, LI SHANSHAN
• Format: Patent
• Language: Chinese; English
• Published: 31.10.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; MEASURING; PHYSICS; TESTING; TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR

The invention relates to the field of mechanical fault diagnosis, and discloses an intelligent bearing diagnosis method based on a self-adaptive aggregation viewer, and the method comprises the steps: carrying out a typical fault vibration test of a bearing, and collecting a vibration acceleration signal in a typical fault state; carrying out feature extraction and graph mapping on the acquired time sequence signals by adopting an adaptive aggregation visual graph algorithm to obtain graph data of which the input is composed of nodes and edges in a graph neural network; establishing an end-to-end rolling bearing intelligent diagnosis framework based on an improved DiffPool graph classification algorithm; inputting graph data into a diagnosis framework, and optimizing an intelligent diagnosis model of the rolling bearing; and identifying and classifying different working conditions of the rolling bearing according to the optimized rolling bearing intelligent diagnosis framework. According to the method, based