21 citations · 26 across the 3 of their papers we have counts for
3 papers
Benchmarking IoT Time-Series AD with Event-Level Augmentations
Dmitry Zhevnenko, Ilya Makarov, Aleksandr Kovalenko +6
Anomaly detection (AD) for safety-critical IoT time series should be judged at the event level: reliability and earliness under realistic perturbations. Yet many studies still emph…
Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process
Vitaliy Pozdnyakov, Aleksandr Kovalenko, Ilya Makarov +2
Integrating machine learning into Automated Control Systems (ACS) enhances decision-making in industrial process management. One of the limitations to the widespread adoption of th…
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data
Alexander Kovalenko, Vitaliy Pozdnyakov, Ilya Makarov
Timely detected anomalies in the chemical technological processes, as well as the earliest detection of the cause of the fault, significantly reduce the production cost in the indu…