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从小波分解技术的强大的去噪功能出发，提出了基于小波技术的监测数据前处理方法。
Wavelet decomposition technology has powerful removing noise function, and the preoperative methods based on the wavelet technology is applied for the monitoring data.
在实际检测中，磁记忆信号属于随机信号、不具有平稳性，宜采用小波技术分析磁记忆信号。
In actual testing, magnetic memory signal belongs to random signal without stationarity, adjusting adopting wavelet technique to analyze magnetic memory signal.
应用实例表明，小波技术与传统信号处理方法相结合可以更有效地进行声源检测与故障诊断。
The applying instance shows that the combining of traditional signal processing methods with wavelet conversion theory is more effective in the noise sources detection and fault diagnosis.
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