Acoustic emission rub-impact location algorithm for rotating machinery based on cluster analysis
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摘要: 旋转机械的特性决定了其在运行中可能会出现碰摩故障并且不易停机检修,所以旋转机械的碰摩定位是一个亟需解决的问题。针对此问题,提出了利用声发射信号特性的参数定位方法,并采用改进的聚类算法优化定位结果。该方法能够在旋转机械运行时进行检测,并且能够准确对碰摩源进行定位。试验结果表明,与时差定位算法相比,提出的方法可以更有效地分离出碰摩源,而且经过改进后的聚类算法运行速度更快。Abstract: Because the characteristics of rotating machinery determine that it may encounter rub-impact faults during operation and is not easy to stop for maintenance, the rub-impact positioning of rotating machinery is an urgent problem to be solved. To solve this problem, this paper proposed a parameter location method based on acoustic emission signal characteristics, and used an improved clustering algorithm to optimize the location results. This method can monitor the running of rotating machinery and accurately locate the source of rub-impact. The experimental results showed that compared with the TDOA location algorithm, the proposed method can more effectively separate the collision sources, and the improved clustering algorithm ran faster.
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Keywords:
- acoustic emission /
- positioning /
- rub-impact /
- cluster analysis
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