Control performance monitoring and degradation recovery in automatic control systems: A review, some new results, and future perspectives

SX Ding, L Li - Control Engineering Practice, 2021 - Elsevier
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 …

[HTML][HTML] A survey of models of degradation for control applications

M Zagorowska, O Wu, JR Ottewill, M Reble… - Annual Reviews in …, 2020 - Elsevier
The analysis of equipment degradation has traditionally developed in two main directions.
One approach, of great interest for control system design, has been to consider that …

Fault detection for systems with model uncertainty and disturbance via coprime factorization and gap metric

Y Wang, P He, P Shi, H Zhang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Small fault diagnosis with gap metric

H Jin, Z Zuo, Y Wang, L Cui, Z Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

TLSCA-SVM fault diagnosis optimization method based on transfer learning

A Zhang, D Yu, Z Zhang - Processes, 2022 - mdpi.com
In fault-diagnosis classification, a pressing issue is the lack of target-fault samples. Obtaining
fault data requires a great amount of time, energy and financial resources. These factors …

Sliding-mode-based current and speed sensors fault diagnosis for five-phase PMSM

Y Bensalem, A Kouzou, R Abbassi, H Jerbi, R Kennel… - Energies, 2021 - mdpi.com
The present paper deals with an active fault-tolerant speed tracking of a five-phase
permanent magnet synchronous motor with currents and speed sensor failures. The active …

A new multimode process monitoring method based on a hierarchical Dirichlet process—Hidden semi-Markov model with application to the hot steel strip mill process

J Dong, C Zhang, K Peng - Control engineering practice, 2021 - Elsevier
With the expansion of modern plants and the growth of process complexities, industrial
processes generally have multimodes, which are reflected in the multiple distributions and …

Hybrid variable monitoring mixture model for anomaly detection in industrial processes

M Wang, D Zhou, M Chen - IEEE Transactions on Cybernetics, 2022 - ieeexplore.ieee.org
Effective process monitoring is both a prerequisite and a guarantee for high system
reliability. In modern industrial processes, binary variables may appear together with …

Performance optimization of maglev train's electromagnetic levitation system: Control structure and algorithm

Y Xu, Z Zhao, Z Long, T Wen - Ieee Transactions on Automation …, 2023 - ieeexplore.ieee.org
This article investigates the performance optimization structure and algorithm of the
electromagnetic levitation (EML) system. Firstly, a functionalized control structure is …

Fault isolation and fault‐tolerant control for nonlinear stochastic distribution control systems with multiplicative faults

Y Kang, L Yao, J Zhou, H Wang - International Journal of …, 2023 - Wiley Online Library
In this paper, a fault isolation, diagnosis and fault tolerant control algorithm is proposed for
nonlinear multiple multiplicative faults stochastic distribution control systems employing …