Comprehensive Algorithmic Detection of Abnormal States in the Process of Automotive Warranty Services
摘要
Abstract
The article discusses the application of the autoregressive principle for machine learning–based forecasting and subsequent detection of anomalies in time series. This principle is implemented based on real data on service requests received from one of the leading Russian automakers.