A new adaptive interpretable fault diagnosis model for complex system based on belief rule base
C Li, Q Shen, L Wang, W Qin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article develops a new adaptive interpretable fault detection and diagnosis (AIFD)
model based on belief rule base (BRB) for complex system. The developed AIFD model …
model based on belief rule base (BRB) for complex system. The developed AIFD model …
A new multisensor partial domain adaptation method for machinery fault diagnosis under different working conditions
Cross-domain fault diagnostic methods based on domain adaptation (DA) have been
developed for single-sensor monitoring scenarios, in which the source and target domains …
developed for single-sensor monitoring scenarios, in which the source and target domains …
Robust fault isolation of gas turbines via nonlinear intelligent observer and takagi sugeno fuzzy inference system
Effective fault diagnosis approach in gas turbines is crucial for ensuring reliable and efficient
operations, minimizing downtime, and mitigating safety risks. In this article, a robust fault …
operations, minimizing downtime, and mitigating safety risks. In this article, a robust fault …
A New Hybrid Supervisory Control System for Cabinet-Type Firebox Furnaces
Z Rostamnezhad, T Adili, MM Heydarloo… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this paper, an intelligent hybrid Industrial Control System (ICS) and a Supervisory Control
System (SCS) are proposed to improve the efficiency, safety, availability, and control …
System (SCS) are proposed to improve the efficiency, safety, availability, and control …
Bearing fault diagnosis based on spatial filtering constraint feature extraction and deep network
Y Zhao, Y Zhou, X Xu, B Qin… - Proceedings of the …, 2023 - journals.sagepub.com
As the core component of a gas turbine, the health condition of the main bearing has a
crucial impact on the safe operation of the gas turbine. However, the distribution …
crucial impact on the safe operation of the gas turbine. However, the distribution …
Self‐Healing of Active Distribution Networks by Accurate Fault Detection, Classification, and Location
S El-Tawab, HS Mohamed, A Refky… - Journal of Electrical …, 2022 - Wiley Online Library
The power system self‐healing concept needs accurate and reliable fault detection,
classification, and location (FDCL). This research proposes a novel and robust FDCL …
classification, and location (FDCL). This research proposes a novel and robust FDCL …
Multi-output sparse Gaussian process based fault detection for a variable displacement pump under random time-variant working conditions
The fault diagnosis of variable displacement axial piston pumps has attracted huge attention
since they are the power source of the hydraulic system. A notable superiority of the variable …
since they are the power source of the hydraulic system. A notable superiority of the variable …
[HTML][HTML] Hybrid intelligence for enhanced fault detection and diagnosis for industrial gas turbine engine
Abstract In context of industry 4.0, intelligent manufacturing and maintenance play a
significant role. The fault detection and diagnosis (FDD) of industrial gas turbine (IGT) …
significant role. The fault detection and diagnosis (FDD) of industrial gas turbine (IGT) …
CSiamese: a novel semi-supervised anomaly detection framework for gas turbines via reconstruction similarity
The main problem in data-driven anomaly detection of gas turbines is that the monitoring
data consists of only a very small number of abnormal samples with the overwhelming …
data consists of only a very small number of abnormal samples with the overwhelming …
Margin-maximized hyperspace for fault detection and prediction: A case study with an elevator door
This study proposes a practical fault detection and prediction method by addressing a
margin-maximized hyperspace. The proposed method is effective for a highly imbalanced …
margin-maximized hyperspace. The proposed method is effective for a highly imbalanced …