摘要
在电子琴电路故障诊断研究中,常规的故障诊断系统受到时效性的限制,故障特征识别不完整,系统的故障分辨能力存在不足。针对这一问题,设计基于优先级诊断树的电子琴故障自动诊断系统。在硬件设计上,以原有的诊断系统的硬件架构作为基础,引入M12MT芯片,与核心芯片和中断控制器相连接,实现故障信号的同步采集;在软件设计上,以采集到的故障信号作为目标,将故障信号分解为多个不同尺度的序列,计算各序列在频带上的能量算子,将计算结果作为故障样本,输入到建立的优先级诊断树模块中,经过数据过滤和决策,得到电子琴电路故障诊断结果。实验结果表明:设计的基于优先级诊断树的诊断系统在电子琴不同操作情况下能识别出完整的故障特征,并且故障区段定位准确可靠,该系统的故障分辨能力得到了提高。
In the study of electronic organ circuit fault diagnosis,the conventional fault diagnosis system is limited by timeliness,fault feature recognition is incomplete,and the fault resolution ability of the system is insufficient.To solve this problem,an electronic organ fault automatic diagnosis system based on priority diagnosis tree is designed.In the hardware design,based on the original hardware architecture of the diagnosis system,M12 MT chip is introduced,which is connected with the core chip and interrupt controller to realize synchronous acquisition of fault signals.On software design,in order to collect the fault signal as the target,the fault signal is decomposed into several different scale sequence,calculation of each sequence in the frequency band energy operator,the calculated results as the fault samples,the input module is used to establish the priority of diagnosis tree.Through data filtering and decision-making,keyboard circuit fault diagnosis results are obtained.The experimental results show that the designed diagnosis system based on priority diagnosis tree can recognize complete fault features under different operation conditions of electronic organ,and the fault segment location is accurate and reliable,and the fault resolution ability of the system is improved.
作者
张婷
ZHANG Ting(Shangluo University,Shangluo Shanxi 726000,China)
出处
《自动化与仪器仪表》
2022年第6期113-116,122,共5页
Automation & Instrumentation
基金
陕西省教育厅研究课题项目“陕南民间曲艺传承及创新应用研究”(20JK0113)。
关键词
优先级诊断树
电子琴
时间同步
故障样本
信号分解
故障诊断
priority diagnosis tree
electronic organ
time synchronization
fault sample
Signal decomposition
fault diagnosis
