Browsing NTNU Open by Author "Darvishi, Hossein"
Now showing items 1-9 of 9
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A Data-Driven Architecture for Sensor Validation Based on Neural Networks
Darvishi, Hossein; Ciuonzo, Domenico; Eide, Eivind R.; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2020)In this paper, we propose a novel sensor validation architecture, which performs sensor fault detection, isolation and accommodation (SFDIA). More specifically, a machine-learning based architecture is presented to detect ... -
Exploring a Modular Architecture for Sensor Validation in Digital Twins
Darvishi, Hossein; Ciuonzo, Domenico; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2022)Decision-support systems rely on data exchange between digital twins (DTs) and physical twins (PTs). Faulty sensors (e.g, due to hardware/software failures) deliver unreliable data and potentially generate critical damages. ... -
Gradient-Descent Adaptive Filtering Using Gradient Adaptive Step-Size
Talebi, Sayedpouria; Darvishi, Hossein; Werner, Stefan; Salvo Rossi, Pierluigi (Journal article; Peer reviewed, 2022)At the heart of most adaptive filtering techniques lies an iterative statistical optimisation process. These techniques typically depend on adaptation gains, which are scalar parameters that must reside within a region ... -
IoT-based Monitoring in Carbon Capture and Storage Systems
Chawla, Apoorva; Arellano Prieto, Yessica Alexandra; Johansson, Martin Viktor; Darvishi, Hossein; Shaneen, Khadija; Vitali, Matteo; Finotti, Francesco; Salvo Rossi, Pierluigi (Journal article, 2022)Carbon capture and storage (CCS) is critical for climate-change policies and strategies targeting global warming within the Paris Agreement. The overarching technological requirements are well described in the strategic ... -
A Machine-Learning Architecture for Sensor Fault Detection, Isolation and Accommodation in Digital Twins
Darvishi, Hossein; Ciuonzo, Domenico; Salvo Rossi, Pierluigi (Journal article; Peer reviewed, 2022)Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time raw data into digital twins. However, sensors might be unreliable due to inherent issues and/or environmental conditions. This paper ... -
Machine-Learning Sensor Validation for Digital Twins
Darvishi, Hossein (Doctoral theses at NTNU;2023:151, Doctoral thesis, 2023)The rapid growth of digital twins (DTs), built upon Internet of Things (IoT) and Industrial IoT systems, demands a large variety of networked sensors’ solutions. Indeed, networked sensors enable various sophisticated ... -
Real-Time Sensor Fault Detection, Isolation and Accommodation for Industrial Digital Twins
Darvishi, Hossein; Ciuonzo, Domenico; Salvo Rossi, Pierluigi (Chapter, 2021)The development of Digital Twins (DTs) has bloomed significantly in last years and related use cases are now pervading several application domains. DTs are built upon Internet of Things (IoT) and Industrial IoT platforms ... -
Sensor-Fault Detection, Isolation and Accommodation for Digital Twins via Modular Data-Driven Architecture
Darvishi, Hossein; Ciuonzo, Domenico; Eide, Eivind R.; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2021)Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time raw data into digital twins. However, sensors might be unreliable due to inherent issues and/or environmental conditions. This ... -
Tracking a low-angle isolated target via an elevation-angle estimation algorithm based on extended kalman filter with an array antenna
Darvishi, Hossein; Sebt, Mohammad Ali; Ciuonzo, Domenico; Salvo Rossi, Pierluigi (Journal article; Peer reviewed, 2021)