Simulation model and fault analysis of air circulation system of the aircraft based on grasshopper optimization algorithm: support vector machine

作     者：Wu Huiyong Jin Shuchun Jin Zhu 

作者机构：Shenyang Univ Chem Technol Coll Sci Shenyang 110142 Liaoning Peoples R China Neusoft Corp Shenyang 110179 Liaoning Peoples R China 

出 版 物：《SOFT COMPUTING》 (Soft Comput.)

年 卷 期：2023年第27卷第18期

页      面：13269-13284页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Shenyang University of Chemical Technology 

主　　题：Air circulation system control Fault analysis Support vector machine Grasshopper algorithm Simulated annealing algorithm Parameter optimization 

摘      要：To effectively analyze the working state of the air circulation system of the aircraft at high altitude, it is necessary to conduct simulation analysis on the ground. In this paper, a simulated annealing-grasshopper optimization algorithmtion algorithm support vector machine is proposed to establish the overall simulation model of the circulation system of the aircraft and to conduct fault injection analysis. By introducing the support vector machine to classify the results of the system and applying of grasshopper algorithm to optimize the support vector machine with methods such as simulated annealing and position migration, the optimal parameter values can be obtained. The results indicate that the simulation system can effectively simulate the temperature changes of the aircraft in various operating states;the optimized support vector machine can effectively distinguish the fault types of the aircraft component outlet;meanwhile, the system convergence is accelerated to avoid falling into the local optimal problems.