Sample-evaluation-enhanced machine learning approach for fault diagnosis of hybrid systems
Y Wang, M Yin, H Wang, X Ye… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Industrial processes are hybrid systems, when they involve both discrete and continuous
variables. Discrete variables contain valuable and easily comprehensible information …
variables. Discrete variables contain valuable and easily comprehensible information …
Set-based fault diagnosis for uncertain nonlinear systems
Automated fault diagnosis algorithms aim to identify the root cause of a fault after it is
detected, which is crucial for determining a safe and effective response. Set-based methods …
detected, which is crucial for determining a safe and effective response. Set-based methods …
Combining qualitative information and semi‐quantitative data for guaranteed invalidation of biochemical network models
P Rumschinski, S Streif… - International Journal of …, 2012 - Wiley Online Library
Mathematical models of complex biological networks are valuable to make predictions on
system properties and to identify therapeutic targets. However, development, validation and …
system properties and to identify therapeutic targets. However, development, validation and …
Guaranteed active fault diagnosis for uncertain nonlinear systems
An input design method is presented to actively isolate faults for polynomial or rational
systems in the presence of unknown-but-bounded uncertainties. For active fault isolation …
systems in the presence of unknown-but-bounded uncertainties. For active fault isolation …
Probabilistic and set-based model invalidation and estimation using lmis
Probabilistic and set-based methods are two approaches for model (in) validation,
parameter and state estimation. Both classes of methods use different types of data, ie …
parameter and state estimation. Both classes of methods use different types of data, ie …
Complete diagnosability of abrupt faults using set-based sensitivities
To ensure the safe operation of technical processes, the occurrence of a fault has to be
reliably detected for a supervisory component to react in time. We investigate the sensitivity …
reliably detected for a supervisory component to react in time. We investigate the sensitivity …
Controller verification and parametrization subject to quantitative and qualitative requirements
Verifying if a process controller achieves a desired goal regarding safety specifications or
performance is an important task in practice. This work presents a method for controller …
performance is an important task in practice. This work presents a method for controller …
Certifying robustness of separating inputs and outputs in active fault diagnosis for uncertain nonlinear systems
To ensure safe operation of technical processes, faults have to be reliably detected and
isolated to provide information for process maintenance, shutdown, or reconfiguration. Fault …
isolated to provide information for process maintenance, shutdown, or reconfiguration. Fault …
Guaranteed set-based controller parameter estimation for nonlinear systems–magnetic levitation platform as a case study
A Savchenko, P Andonov, S Streif… - IFAC Proceedings Volumes, 2014 - Elsevier
The design of a suitable controller often consists of two steps: first, the choice of a specific
controller structure; second, the choice of suitable controller parameters achieving the …
controller structure; second, the choice of suitable controller parameters achieving the …
Multi-objective complexity reduction for set-based fault diagnosis
A Savchenko, P Andonov… - … on Advanced Control …, 2017 - ieeexplore.ieee.org
Fault diagnosis methods ensure safe operation of industrial plants. Steadily increasing
appearance of larger and interconnected systems and the necessity to take process …
appearance of larger and interconnected systems and the necessity to take process …