5 papers
Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark
Felix Leonhard Janzen, Lukas Moddemann, Alexander Diedrich +1
In many cyber-physical systems, especially in critical applications such as aeroplanes, data to train anomaly detection and diagnosis algorithms is lacking due to data protection i…
Data Driven Diagnosis for Large Cyber-Physical-Systems with Minimal Prior Information
Henrik Sebastian Steude, Alexander Diedrich, Ingo Pill +3
Diagnostic processes for complex cyber-physical systems often require extensive prior knowledge in the form of detailed system models or comprehensive training data. However, obtai…
Diagnosis driven Anomaly Detection for CPS
Henrik S. Steude, Lukas Moddemann, Alexander Diedrich +2
In Cyber-Physical Systems (CPS) research, anomaly detection (detecting abnormal behavior) and diagnosis (identifying the underlying root cause) are often treated as distinct, isola…
Discret2Di -- Deep Learning based Discretization for Model-based Diagnosis
Lukas Moddemann, Henrik Sebastian Steude, Alexander Diedrich +1
Consistency-based diagnosis is an established approach to diagnose technical applications, but suffers from significant modeling efforts, especially for dynamic multi-modal time se…
On a Uniform Causality Model for Industrial Automation
Maria Krantz, Alexander Windmann, Rene Heesch +2
The increasing complexity of Cyber-Physical Systems (CPS) makes industrial automation challenging. Large amounts of data recorded by sensors need to be processed to adequately perf…