Fault Diagnosis of Secondary Air Temperature of Grate Cooler Cement Clinker Heat Transfer Based on Improved Genetic Hill Climbing Algorithm
LIU Bin1,LIU Yong-ji1,LIU Hao-ran1,LI Lei2,SUN Mei-ting1
1.Information Science and Engineering College of Yanshan University, Hebei Province Key Laboratory of Special Optical Fiber and Optical Fiber Sensing, Qinhuangdao, Hebei 066004, China
2.Electrical Engineering College of Yanshan University, Qinhuangdao, Hebei 066004, China
Abstract：An improved combined algorithm(improved genetic hill climbing,IGHC) which utilizes the improved genetic operators to optimize Hill-Climbing is proposed.The algorithm adjusts the probability of crossover and mutation self adaptive, selects the way of crossover and mutation automatically, utilizes the crossover and mutation operators replace the edge deletion operator of HC to extend its ability of global optimization, and utilizes the Most Weight Supported Tree restrict the search space to improve search efficiency. Compared with HC and GA(genetic algorithm), the simulation results have shown that the IGHC algorithm can obtain a model more accurate and rapid, the best score of model is higher than GA and HC. Combined with cement grate cooler operating data in the process of cement clinker heat transfer, the fault diagnosis model of technological parameter can be constructed and a precise fault diagnosis of secondary air temperature in the cement grate cooler can be realized, so this algorithm has a certain practical significance.
刘彬,刘永记,刘浩然,李雷,孙美婷. 基于改进遗传爬山算法的篦冷机熟料换热二次风温故障诊断[J]. 计量学报, 2018, 39(5): 651-658.
LIU Bin,LIU Yong-ji,LIU Hao-ran,LI Lei,SUN Mei-ting. Fault Diagnosis of Secondary Air Temperature of Grate Cooler Cement Clinker Heat Transfer Based on Improved Genetic Hill Climbing Algorithm. Acta Metrologica Sinica, 2018, 39(5): 651-658.
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2018, Vol. 39 
