Equipment fault prediction method based on large model

• Main Authors: TONG WENJIE, PENG LIUBAO, BING QI, HU YONG, ZENG ZHISHENG, XU LINGPENG, HUANG JIAXU
• Format: Patent
• Language: Chinese; English
• Published: 26.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The embodiment of the invention discloses an equipment fault prediction method based on a large model, and belongs to the field of mechanical vibration signal analysis, and the method comprises the following steps: collecting a vibration signal sample, carrying out the feature extraction of the collected vibration signal sample, carrying out the training calculation of the feature data after the extraction processing through a Boosting algorithm, obtaining a Boosting algorithm model, and carrying out the calculation of the Boosting algorithm model. And a Boosting algorithm model is deployed. Obtaining maintenance records and historical report information of the equipment, analyzing text information by using a natural language processing technology to extract fault features and maintenance suggestions of the equipment, and performing training calculation on the extracted text information by using a long-short-term memory network; in the analysis and monitoring process, on the basis of fault vibration signal in