Industrial equipment fault diagnosis method

• Main Authors: CHO SHIN-HO, ZHOU QIANHAO, PAN ZEJIANG, ZHANG LIANJUN, WANG XIAODONG, HUANG RUIQIANG
• Format: Patent
• Language: Chinese; English
• Published: 21.06.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; MEASURING; MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES; PHYSICS; TESTING; TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES; TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR

The invention relates to an industrial equipment fault diagnosis method. The method comprises the following steps: forming a data set; constructing a fault diagnosis model, and training the constructed fault diagnosis model in batches by using all samples in the data set to obtain a trained fault diagnosis model; and detecting operation data of the industrial equipment in real time, and inputting the operation data detected in real time into the trained fault diagnosis model to obtain a fault diagnosis result. Wherein the constructed fault diagnosis model comprises a1 primary feature extraction layers, a2 feature extraction modules, a3 feature processing layers, a global pooling layer and a full connection layer which are connected in sequence. According to the method, different receptive field information is obtained by using different convolution kernel sizes, information of different time scales in data can be synthesized, a more accurate fault diagnosis result is obtained, and the fault diagnosis accuracy