activity
20242026
collaborators

10 papers

eess.SP2026

XMDCA-TL: An Explainable Multi-Domain Channel Attention Transfer Learning Framework for Fault Diagnosis in Industrial Gas Turbines

Amir Jahangard Takaloo, Mahdi Aliyari Shoorehdeli, Ehsan Mohammadi

In this study, a multi-task, interpretable transfer learning framework, XMDCA-TL, is proposed for fault diagnosis in industrial gas turbines. In the proposed method, the vibration…

eess.SP2026

Temporal Cross-Modal Knowledge-Distillation-Based Transfer-Learning for Gas Turbine Vibration Fault Detection

Ali Bagheri Nejad, Mahdi Aliyari-Shoorehdeli, Abolfazl Hasanzadeh

Preventing machine failure is inherently superior to reactive remediation, particularly for critical assets like gas turbines, where early fault detection (FD) is a cornerstone of…

eess.SY2025

PINN vs LSTM: A Comparative Study for Steam Temperature Control in Heat Recovery Steam Generators

Mojtaba Fanoodi, Farzaneh Abdollahi, Mahdi Aliyari Shoorehdeli

This paper introduces a direct comparative study of Physics-Informed Neural Networks (PINNs) and Long Short-Term Memory (LSTM) networks for adaptive steam temperature control in He…

eess.SY2025

Fault-Tolerant Control of Steam Temperature in HRSG Superheater under Actuator Fault Using a Sliding Mode Observer and PINN

Mojtaba Fanoodi, Farzaneh Abdollahi, Mahdi Aliyari Shoorehdeli

This paper presents a novel fault-tolerant control framework for steam temperature regulation in Heat Recovery Steam Generators (HRSGs) subject to actuator faults. Addressing the c…

eess.SY2025

Fault-Tolerant Temperature Control of HRSG Superheaters: Stability Analysis Under Valve Leakage Using Physics-Informed Neural Networks

Mojtaba Fanoodi, Farzaneh Abdollahi, Mahdi Aliyari Shoorehdeli +1

Faults and operational disturbances in Heat Recovery Steam Generators (HRSGs), such as valve leakage, present significant challenges, disrupting steam temperature regulation and po…

eess.SP2025

Multilayer Perceptron Neural Network Model: A Novel Approach for LFP Contrast Sensitivity Tuning

Sahar Maleki, Reza Lashgari, Mahdi Aliyari Shoorehdeli +1

Local field potentials (LFPs) have been demonstrated to be an important measurement to study the activity of a local population of neurons. The response tunings of LFPs have been m…