Control performance monitoring and degradation recovery in automatic control systems: A review, some new results, and future perspectives
This paper addresses control performance monitoring (CPM) and degradation recovering in
automatic control systems. It begins with a re-visit of CPM techniques and a summary of the …
automatic control systems. It begins with a re-visit of CPM techniques and a summary of the …
Backstepping-based distributed abnormality localization for linear parabolic distributed parameter systems
Abnormality localization for industrial processes described by distributed parameter systems
(DPSs) is vital but seldom studied to the best of our knowledge. In this paper, a systematic …
(DPSs) is vital but seldom studied to the best of our knowledge. In this paper, a systematic …
A combined model-based and data-driven fault diagnosis scheme for lithium-ion batteries
Diagnosing potential faults is of great importance to ensure reliability of battery management
systems. This is because a current or voltage sensor fault often results in an inaccurate state …
systems. This is because a current or voltage sensor fault often results in an inaccurate state …
[HTML][HTML] Data-driven fault diagnosis analysis and open-set classification of time-series data
A Lundgren, D Jung - Control Engineering Practice, 2022 - Elsevier
Fault diagnosis of dynamic systems is done by detecting changes in time-series data, for
example residuals, caused by system degradation and faulty components. The use of …
example residuals, caused by system degradation and faulty components. The use of …
Sensitivity analysis of scalable data on three PCA related fault detection methods considering data window and thermal load matching strategies
X Yang, J Chen, X Gu, R He, J Wang - Expert Systems with Applications, 2023 - Elsevier
The principal component analysis (PCA) combining with data window (DW) strategies have
been broadly investigated on feature extraction or dimensionality reduction for fault …
been broadly investigated on feature extraction or dimensionality reduction for fault …
An integrated model-based and data-driven gap metric method for fault detection and isolation
This article proposes an integrated approach of model-based and data-driven gap metric
fault detection and isolation in a stochastic framework. For actuator and sensor faults, an …
fault detection and isolation in a stochastic framework. For actuator and sensor faults, an …
Fault detection for systems with model uncertainty and disturbance via coprime factorization and gap metric
The fault detection (FD) problem for systems with both model uncertainty and external
disturbance is investigated in this article. First, the mathematical models of systems with …
disturbance is investigated in this article. First, the mathematical models of systems with …
Small fault diagnosis with gap metric
This article proposes a novel data-driven gap metric fault detection and isolation (FDI)
approach for small multiplicative fault. First, the scheme of model-based fault classification …
approach for small multiplicative fault. First, the scheme of model-based fault classification …
Application of the unified control and detection framework to detecting stealthy integrity cyber-attacks on feedback control systems
This paper addresses issues of detecting stealthy integrity cyber-attacks on automatic
control systems. A general form of integrity cyber-attacks that cannot be detected using the …
control systems. A general form of integrity cyber-attacks that cannot be detected using the …
Computation-efficient fault detection framework for partially known nonlinear distributed parameter systems
Fault detection for distributed parameter systems (DPSs) generally requires the complete
model information to be known so far. However, for numerous industrial applications, it is …
model information to be known so far. However, for numerous industrial applications, it is …