Development of intelligent fault-tolerant control systems with machine leaprning, deep learning, and transfer learning algorithms: A review
Abstract Intelligent Fault-Tolerant Control (IFTC) refers to the applications of machine
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …
learning algorithms for fault diagnosis and design of Fault-Tolerant Control (FTC). The …
[HTML][HTML] Robust key parameter identification of dedicated hybrid engine performance indicators via K-fold filter collaborated feature selection
Dedicated hybrid engine technology using auxiliary electronic components has been proven
as an energy-saving solution to public concerns about energy consumption and carbon …
as an energy-saving solution to public concerns about energy consumption and carbon …
[HTML][HTML] A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
Abstract Predictive Maintenance (PdM) methods aim to facilitate the scheduling of
maintenance work before equipment failure. In this context, detecting early faults in …
maintenance work before equipment failure. In this context, detecting early faults in …
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 …
A fault isolation strategy for industrial processes using outlier-degree-based variable contributions
In industrial process monitoring, it is always a challenging and practical problem to analyze
the causes of the system fault by isolating true fault variables from vast amounts of process …
the causes of the system fault by isolating true fault variables from vast amounts of process …
Noise‐robust gas path fault detection and isolation for a power generation gas turbine based on deep residual compensation extreme learning machine
A Nekoonam, M Montazeri‐Gh - Energy Science & Engineering, 2023 - Wiley Online Library
One of the major challenges facing fault diagnosis tools is their exposure to noise. The
presence of noise may cause false alarms or the inability to detect a progressive fault in the …
presence of noise may cause false alarms or the inability to detect a progressive fault in the …
Development of Smart Real-time Fault Detection Approach in Railway Track Deploying a Single Acoustic Emission Sensor Data
Objective Railways, integral to global trade and transportation, face infrastructure
vulnerabilities from heavy traffic and challenging environments. Timely fault monitoring is …
vulnerabilities from heavy traffic and challenging environments. Timely fault monitoring is …
A Data-driven Approach for Enhanced On-Board Fault Diagnosis to Support Euro 7 Standard Implementation
S Canè, L Brunelli, V Müller, G Sammito, T Brinkmann… - 2024 - sae.org
Abstract The European Commission is going to publish the new Euro7 standard shortly, with
the target of reducing the impact on pollutant emissions due to transportation systems …
the target of reducing the impact on pollutant emissions due to transportation systems …
MEMS Application to Monitor the In-Cylinder Pressure of a Marine Engine
The transport of goods and people by sea, today, must meet the need to reduce the
consumption of fuel oil. In addition, it has to ensure operational reliability and vessel …
consumption of fuel oil. In addition, it has to ensure operational reliability and vessel …
Sistema tolerante a fallas para el sensor de oxígeno de un motor de combustión interna
LF De Olarte Delgado - 2023 - 51.143.95.221
Description: Este trabajo de investigación trata sobre el diseño y la simulación de un
sistema de supervisión de los sensores de temperatura, presión y lambda de un motor de …
sistema de supervisión de los sensores de temperatura, presión y lambda de un motor de …