摘要
研究了铝合金点焊过程中声音信号的时频域能量分布 ,并应用它来识别点焊的熔核状态。点焊过程中的声音信号包含着熔核形成信息 ,是点焊质量监控的重要参数。为了能够确定熔核的变化状态 ,作者尝试采用非平稳过程的时频分析方法对声音信号进行研究 ,试验与计算结果表明 ,Choi-williams时频分布是一种较好的铝合金点焊声音分析方法 ,可以区分不同熔核状态 ,其计算结果可作为铝合金点焊过程的监控参数和质量检验的依据 ,具有一定的实用价值 ,同时它对其它焊接方法中的信号分析与处理也有较高的参考价值。
This paper investigates energy distribution of air-borne acoustic signals in time-frequency domain during aluminum alloys spot welding in order to identify weld nugget states. Experiment results indicate that air-borne acoustic signals contain information about weld nugget states and can be viewed as a kind of parameters that indicate the welding quality. Methods of time-frequency analysis are put forward to analyze the non-stationary signals. The results of experiment and calculation show that Choi-Williams distribution, a kind of time-frequency analysis, has been proved to be a better approach to discriminate weld nugget states by analyzing the signals. As a result, it can be employed to recognize signals in the industrial application and can provide a new way for various welding processes.
出处
《焊接学报》
EI
CAS
CSCD
北大核心
2004年第1期36-39,共4页
Transactions of The China Welding Institution
基金
国家自然科学基金资助项目 (5 0 0 45 0 19)
教育部高等学校博士学科专项科研基金资助项目 (2 0 0 0 0 5 612 )
关键词
时频分析
铝合金
电阻点焊
声音信号
Acoustic signal processing
Acoustic waves
Aluminum alloys
