萃取(化学)
计算机科学
振动
拓扑(电路)
特征提取
模式识别(心理学)
人工智能
物理
数学
声学
化学
色谱法
组合数学
出处
期刊:De Gruyter eBooks
[De Gruyter]
日期:2024-12-16
卷期号:: 185-214
被引量:1
标识
DOI:10.1515/9783111344553-011
摘要
We explore the application of topological data analysis (TDA) to extract information from vibration sensor data. In Section 11.1, we describe the data embedding requirements for applying TDA and study the empirical performance of TDA, given different parameters of data embedding as well as under degraded data collection conditions. Furthermore, we provide empirical evidence of the correlation between select vibration metrics and TDA. The results stated in this section are adapted from reference [1]. In Section 11.2, we describe an application of TDA to detect anomalies from vibration signals. The methods described have indications of being useful to determine remaining useful life of components.
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