Fault Detection for Steam Turbines Based on Non-Stationary and Autocorrelated Multivariate Time Series with Non-Gaussian Noise
In recent years, fault detection for steam turbines based on condition-monitoring data has gained significant attention. However, the resulting data often exhibit non-stationarity, autocorrelation, and non-Gaussian noise, posing significant challenges for conventional monitoring methods. To address these issues simulta...