摘要
针对石墨电极内部缺损状况难以判断的问题,基于ARM9处理器S3C2440,研制一种石墨电极缺损音频检测系统。通过对检测到的声音进行信号处理和数据采集,以及对处理后的信号进行频谱分析,并与采集到的已知无损的石墨电极的信号频谱进行对比,得到检测结果,表明该系统可准确快速地判断石墨电极缺损情况,避免工厂通过人耳判断石墨电极好坏的弊端。
To solve the difficulty in determining the internal defects of graphite electrode, an audio detection system for graphite electrode was designed with the ARM9 processor S3C2440.The detected signals were put under signal processing and data acquisition. The processed signals were used for spectral analysis and at the same time compared with the signal spectrum of the acquired intact graphite electrode to obtain the detection results. The system can accurately and quickly decide whether the graphite electrode is damaged or not, thus avoiding the drawbacks that the quality of graphite electrode is judged through the workers＇ ears.
出处
《中国测试》
CAS
北大核心
2016年第4期86-88,共3页
China Measurement & Test
