Industrial equipment fault diagnosis system and method based on industrial big data

• Main Authors: YANG ZAISHENG, RAO ZAIYING, YANG QINGHU, XIAO FENGCHUN, CHEN XIAORONG
• Format: Patent
• Language: Chinese; English
• Published: 18.06.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention relates to the technical field of artificial intelligence, and discloses an industrial equipment fault diagnosis system and method based on industrial big data, and the method comprises the steps: starting industrial equipment to operate the industrial equipment, and collecting the control data of a controllable part and the monitoring data of a monitored part; generating a fragment graph based on the control data and the monitoring data acquired each time, and generating edges between component nodes corresponding to the positions and the operation data of the controllable component and the monitored component of the industrial equipment at the time point acquired each time when the fragment graph is generated; inputting the fragment graph into a fault diagnosis model, wherein the fault diagnosis model outputs a result representing whether the controllable component or the monitored component associated with the component nodes has a fault or not; the method can solve the problem that the diagn