Results 1 to 10 of about 403 (112)
Development and Implementation of Fault-Correction Algorithms in Fault Detection and Diagnostics Tools [PDF]
Energies, 2020 A fault detection and diagnostics (FDD) tool is a type of energy management and information system that continuously identifies the presence of faults and efficiency improvement opportunities through a one-way interface to the building automation system ...
Guanjing Lin +3 more
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Sensors, 2021 Reliable fault detection and diagnostics are crucial in order to ensure efficient operations in industrial assets. Data-driven solutions have shown great potential in various fields but pose many challenges in Prognostics and Health Management (PHM ...
Katharina Rombach +2 more
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A Method for Fault Detection and Diagnostics in Ventilation Units Using Virtual Sensors [PDF]
Sensors, 2018 Buildings represent a significant portion of global energy consumption. Ventilation units are complex components, often customized for the specific building, responsible for a large part of energy consumption.
Claudio Giovanni Mattera +4 more
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Fault Detection and Diagnostics of a Three-Phase Separator [PDF]
Journal of Loss Prevention in the Process Industries, 2016 A high demand of oil products on daily basis requires oil processing plants to work with maximum efficiency. Oil, water and gas separation in a three-phase separator is one of the first operations that are performed after crude oil is extracted from an oil well.
John Andrews +2 more
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Advances in Applied Energy, 2021 Sensors are the key information source for fault detection and diagnostics (FDD) in buildings. However, sensors are often not properly designed, installed, calibrated, located, and maintained, which negatively impacts FDD performance.
Liang Zhang +9 more
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Spatial-Temporal Recurrent Graph Neural Networks for Fault Diagnostics in Power Distribution Systems
IEEE Access, 2023 Fault diagnostics are extremely important to decide proper actions toward fault isolation and system restoration. The growing integration of inverter-based distributed energy resources imposes strong influences on fault detection using traditional ...
Bang L. H. Nguyen +4 more
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FDD in Building Systems Based on Generalized Machine Learning Approaches
Energies, 2023 Automated fault detection and diagnostics in building systems using machine learning (ML) can be applied to commercial buildings and can result in increased efficiency and savings.
William Nelson, Charles Culp
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Sensor Fault Diagnostics Using Physics-Informed Transfer Learning Framework
Sensors, 2022 The field of smart health monitoring, intelligent fault detection and diagnosis is expanding dramatically in order to maintain successful operation in many engineering applications.
Furkan Guc, Yangquan Chen
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Fuzzy Fault Detection for Permanent Magnet Synchronous Motor [PDF]
MATEC Web of Conferences, 2021 In the transition to automated and automatic manufacturing an urgent problem is to increase the reliability of mobile robots (MR) and their drives, creation of devices to monitor the technical characteristics of MR, diagnose and predict the remaining ...
Romanov Alexander
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Scientific Data, 2021 Measurement(s) fault detection and diagnostics • temperature • pressure • mass flow rate • power Technology Type(s) fault imposition • measurement device Factor Type(s) fault type • fault scenario Sample Characteristic - Environment refrigeration system ...
Jian Sun +5 more
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