实验结果表明，它比传统的振动通频值能更好的反映发电机组的故障发展趋势。
The results of experiments proved that it can show the fault trend better than the traditional analysis of vibration amplitude.
它可以确定设备整体或局部是正常还是异常，能早期发现故障及其原因，并能预报故障发展趋势。
It can determine equipment whole or local is in normal or abnormal, found early fault and the reasons, and can forecast fault development trend.
最后对远程智能故障诊断技术的发展趋势进行了展望。
The development tendency of remote intelligent fault diagnosis technology was pointed out.
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