CAJ | 학술논문

通过对电气系统设备异常故障检测分析,构建电气系统的故障检测专家系统,实现电气设备安全运行和安全供电.传统的电气故障检测系统采用遗传进化系统,由于信号数据分析的时间与判断的依据非常模糊,导致检测性能不好.提出一种基于改进的遗传进化专家系统的电气系统故障检测模型,通过信号处理和特征提取方法,提取电气故障数据集合,设计三层遗传进化神经元结构,构建故障检测专家系统,得到检测系统的硬件电路模型,通过算法改进提高检测性能.仿真实验研究表明,该模型实现对电气故障检测,能有效提高对电气设备的故障检测准确率,准确检测率提升34.3%,系统稳定可靠.
통과대전기계통설비이상고장검측분석,구건전기계통적고장검측전가계통,실현전기설비안전운행화안전공전.전통적전기고장검측계통채용유전진화계통,유우신호수거분석적시간여판단적의거비상모호,도치검측성능불호.제출일충기우개진적유전진화전가계통적전기계통고장검측모형,통과신호처리화특정제취방법,제취전기고장수거집합,설계삼층유전진화신경원결구,구건고장검측전가계통,득도검측계통적경건전로모형,통과산법개진제고검측성능.방진실험연구표명,해모형실현대전기고장검측,능유효제고대전기설비적고장검측준학솔,준학검측솔제승34.3%,계통은정가고.
Through the analysis on the abnormal electrical system fault detection equipment, troubleshooting expert system building electrical system, realize safe power supply. Electrical fault detection system using the traditional genetic evolu-tion system, because of the time and the judgment signal data analysis based on fuzzy, leading to detection performance is not good. This paper presents a kind of electrical system fault detection model of genetic evolution expert system based on improved, through the method of signal processing and feature extraction, the extraction of electrical fault data collection, the design of three layer genetic evolution structure, the construction of fault detection expert system, obtains the hardware circuit model testing system, by improving the algorithm to improve the detection performance. Experimental study of simu-lation shows that, to realize the detection of electrical faults of the model, can effectively improve the fault detection of elec-trical equipment accuracy, accurate detection rate increased by 34.3%, the system is stable and reliable.