该方法将气阀的压力信号和振动信号特征进行信息融合，再通过RBF神经网络进行故障诊断。
Pressure signal and vibration signal of valves are fused, and RBF neural network is used to diagnose fault by the information feature vectors constructed in this method.
针对山东黄岛发电厂3号机组再热管道出现的异常大幅度振动，进行了原因分析；
Regarding the abnormal large vibration of reheat steam pipe of unit 3 for Shandong Huangdao Power Plant, the causes were analyzed.
研究结果表明，爆炸振动引起砂体的破坏与再排列是砂基密实的主要原因。
The result shows that disruption and rearrngement of sand caused by blasting vibration are the major reason for sand densification.
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