组态软件测试下电力系统程序缺陷检测仿真

Simulation of Program Defect Detection in Power System Based on Configuration Software Testing

组态软件测试技术下对电力系统程序的缺陷检测,能够有效提高软件程序运行稳定性,增强用户体验质量。通过组态软件测试技术对驱动电力程序缺陷的检测,先对软件程序不同时间序列分量进行特征提取,并对程序分量特征提取结果进行奇异点检测,完成电力程序缺陷检测。传统对驱动电力程序缺陷的检测是通过数据特征范围进行估计,对随机空间数进行处理,但忽略了对程序奇异点的检测,导致缺陷检测精度偏低。提出基于似然比检验的组态软件测试技术下驱动电力程序缺陷检测方法。对程序不同的时间序列分量进行特征提取,并对分量特征提取结果进行奇异点检测,减少奇异点对缺陷检测结果的干扰,解决延时性问题,实现电力程序缺陷检测。实验结果表明,所提方法消除了噪声数据对缺陷检测结果的干扰,能够实时检测驱动程序因运行状态变化而产生的异常情况,具有较高的实用价值。

Traditional methods ignore the detection of singular point in program,which results in low accuracy of defect detection.Therefore,a method of detecting power driving program defects with configuration software testing technology based on likelihood ratio test was proposed.First of all,the characteristics of different time series components in program were extracted.Meanwhile,the singularity detection was used to detect the extraction result of component feature.Then,interference of singularity on the defect detection result was reduced.Finally,the problem of time delay was solved.Thus,the detection of the power program defect was realized.Simulation results show that the proposed method eliminates the interference of noise data on the defect detection result.Meanwhile,it can detect the abnormal situation of driving program in real time caused by the change of running state.