Gas-insulated totally-enclosed combined electrical equipment risk assessment method and system, medium and equipment

The invention discloses a gas-insulated totally-enclosed combined electrical equipment risk assessment method and system, a medium and equipment, and relates to the technical field of equipment risk assessment. The method specifically comprises the steps that GIS equipment is analyzed by collecting GIS input detection quantity, a kernel principal component analysis processing method is introduced, components with the large contribution rate are extracted, and then a whale intelligent optimization algorithm is used for optimizing a kernel extreme learning machine to conduct model combination prediction on equipment risks. Compared with an existing equipment assessment method, the GIS equipment risk assessment method has the advantages that the generalization performance of model assessment is improved while the calculated amount is reduced, noise is reduced and irrelevant factors are eliminated in the aspect of data extraction, the technology has high application prospects, and a practical theoretical basis is