A review of alarm root cause analysis in process industries: Common methods, recent research status and challenges
In modern industrial plants with a variety of interconnected devices and control loops, a fault
may propagate through the information and material flow pathways. Alarms are indicators of …
may propagate through the information and material flow pathways. Alarms are indicators of …
A data-driven Bayesian network learning method for process fault diagnosis
This paper presents a data-driven methodology for fault detection and diagnosis (FDD) by
integrating the principal component analysis (PCA) with the Bayesian network (BN). Though …
integrating the principal component analysis (PCA) with the Bayesian network (BN). Though …
工业过程故障根源诊断与传播路径识别技术综述
马亮， 彭开香， 董洁 - 自动化学报, 2022 - aas.net.cn
故障根源诊断与传播路径识别是故障诊断框架下的关键核心问题, 是保障工业过程安全生产及
获得可靠产品质量的有效手段, 是当前过程控制领域的研究热点. 该技术的研究不仅丰富了故障 …
获得可靠产品质量的有效手段, 是当前过程控制领域的研究热点. 该技术的研究不仅丰富了故障 …
High-speed train fault detection with unsupervised causality-based feature extraction methods
Y Xu, J Liu - Advanced Engineering Informatics, 2021 - Elsevier
With the development of smart sensors, large amount of operating data collected from a
complex system as a high-speed train providing opportunities in efficient and effective fault …
complex system as a high-speed train providing opportunities in efficient and effective fault …
A direct transfer entropy-based multiblock Bayesian network for root cause diagnosis of process faults
In chemical processes, Bayesian network (BN)-based approaches have been extensively
applied for process fault diagnosis. Generally, BN is learned using score and search …
applied for process fault diagnosis. Generally, BN is learned using score and search …
Adaptive online optimization of alarm thresholds using multilayer Bayesian networks and active transfer entropy
Poorly designed alarm thresholds usually lead to significant safety hazards and highly
connected industrial processes. Due to the process condition changes, the traditional alarm …
connected industrial processes. Due to the process condition changes, the traditional alarm …
A method for detecting causal relationships between industrial alarm variables using Transfer Entropy and K2 algorithm
Advances in technology allowed the fast and easy creation and configuration of industrial
alarms. The growth in the number of alarms, however, brought some problems to the alarm …
alarms. The growth in the number of alarms, however, brought some problems to the alarm …
A new transfer entropy approach based on information granulation and clustering for root cause analysis
X Zhang, W Hu, F Yang, W Cao, M Wu - Control Engineering Practice, 2023 - Elsevier
In complex industrial facilities, a fault may generate in a unit and easily propagate to other
units, resulting in degraded performance of process operations and deteriorating the …
units, resulting in degraded performance of process operations and deteriorating the …
A multi‐fault diagnosis method based on improved SMOTE for class‐imbalanced data
Y Xu, Y Zhao, W Ke, YL He, QX Zhu… - … Canadian Journal of …, 2023 - Wiley Online Library
With the development of industrial processes, how to effectively diagnose the faults in an
increasingly complex production process has attracted widespread attention. It is worth …
increasingly complex production process has attracted widespread attention. It is worth …
Stable soft sensor modeling based on causality analysis
Data-driven soft sensors, aiming to estimate and predict hard-to-measure quality variables
using easy-to-measure process variables, have now become the key foundation for …
using easy-to-measure process variables, have now become the key foundation for …