论文标题
EventDetectr-开源事件检测系统
EventDetectR -- An Open-Source Event Detection System
论文作者
论文摘要
EventDetectr：有效的事件检测系统（EDS），能够检测出意外的水质条件。该方法使用多种算法来建模各种多元水质信号之间的关系。然后将模型的残差用于构建事件检测算法，该算法提供了每个时间步长的事件概率的连续度量。提出的框架已通过自动水质传感器的工业数据进行了水污染事件测试。结果表明，该框架可靠，性能更好，并且非常适合事件检测。
EventDetectR: An efficient Event Detection System (EDS) capable of detecting unexpected water quality conditions. This approach uses multiple algorithms to model the relationship between various multivariate water quality signals. Then the residuals of the models were utilized in constructing the event detection algorithm, which provides a continuous measure of the probability of an event at every time step. The proposed framework was tested for water contamination events with industrial data from automated water quality sensors. The results showed that the framework is reliable with better performance and is highly suitable for event detection.
