Data-driven fault detection and isolation for multirotor system using Koopman operator
This paper presents a data-driven fault detection and isolation (FDI) for a multirotor system
using Koopman operator and Luenberger observer. Koopman operator is an infinite …
using Koopman operator and Luenberger observer. Koopman operator is an infinite …
Koopman-based deep iISS bilinear parity approach for data-driven fault diagnosis: Experimental demonstration using three-tank system
Precise and timely fault diagnosis is crucial in many practical systems and control
processes. Particularly due to the increasing amount of available data collected by sensors …
processes. Particularly due to the increasing amount of available data collected by sensors …
Self-validating sensor technology and its application in artificial olfaction: A review
Y Chen, M Wang, Z Chen, W Zhao, Y Shi - Measurement, 2024 - Elsevier
Automatic detection devices rely on accurate and reliable sensor readings, which is a
prerequisite for their good running. Self-validating sensor technology that realizes sensor …
prerequisite for their good running. Self-validating sensor technology that realizes sensor …
[HTML][HTML] A data-driven approach for fault diagnosis in multi-zone HVAC systems: Deep neural bilinear Koopman parity
Sensor faults in heating, ventilation, and air conditioning (HVAC) systems are inevitable and
result in significant energy waste. This paper presents an innovative data-driven approach …
result in significant energy waste. This paper presents an innovative data-driven approach …
Multi-objective optimization of building HVAC operation: Advanced strategy using Koopman predictive control and deep learning
Predictive control is an effective method for addressing the increasing demand for heating,
ventilation, and air conditioning (HVAC) systems to operate with greater flexibility and …
ventilation, and air conditioning (HVAC) systems to operate with greater flexibility and …
Adaptive data-driven fault-tolerant control for nonlinear systems: Koopman-based virtual actuator approach
This paper proposes an adaptive data-driven fault-tolerant control scheme using the
Koopman operator for unknown dynamics subjected to nonlinearities, time-varying loss of …
Koopman operator for unknown dynamics subjected to nonlinearities, time-varying loss of …
Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator
The gas turbine engine is a predominant prime mover in the transport and energy sectors,
and ensuring its reliable operation holds paramount significance. While intelligent fault …
and ensuring its reliable operation holds paramount significance. While intelligent fault …
Learning-based Data-Driven Optimal Deployment Control of Tethered Space Robot
A **, F Zhang, P Huang - Advances in Space Research, 2024 - Elsevier
To avoid complex constraints of the traditional nonlinear method for tethered space robot
(TSR) deployment, a data-driven optimal control framework with an improve deep learning …
(TSR) deployment, a data-driven optimal control framework with an improve deep learning …
[HTML][HTML] Combinatorial reasoning-based abnormal sensor recognition method for subsea production control system
The subsea production system is a vital equipment for offshore oil and gas production. The
control system is one of the most important parts of it. Collecting and processing the signals …
control system is one of the most important parts of it. Collecting and processing the signals …
Data-driven Fault Diagnosis of Nonlinear Systems With Parameter Uncertainty Using Deep Koopman Operator and Weighted Window Extended Dynamic Mode …
In this study, we propose a data-driven fault diagnosis method for nonlinear systems with
parameter uncertainty using Koopman operator. The Koopman operator is an infinite …
parameter uncertainty using Koopman operator. The Koopman operator is an infinite …