Results 31 to 40 of about 3,016 (158)
Automated Fault Detection and Diagnostics in HVAC Systems
, 2023 In this comprehensive research paper, we delve into the transformative realm of Automated Fault Detection and Diagnostics (AFDD) within Heating, Ventilation, and Air Conditioning (HVAC) systems. As the intricacies of HVAC systems continue to evolve, AFDD emerges as a pivotal and proactive solution for the identification and diagnosis of faults, thereby
Sharma, Vibhu, Mistry, Vrushank
openaire +2 more sources
A Review on Fault Detection and Process Diagnostics in Industrial Processes [PDF]
Processes, 2020 The main roles of fault detection and diagnosis (FDD) for industrial processes are to make an effective indicator which can identify faulty status of a process and then to take a proper action against a future failure or unfavorable accidents. In order to enhance many process performances (e.g., quality and throughput), FDD has attracted great ...
You-Jin Park +2 more
openaire +1 more source
A convolutional neural-network-based diagnostic framework for industrial bearing [PDF]
Mechanical SciencesThe problem of industrial bearing health monitoring and fault diagnosis has recently been a popular research topic. Extracting sufficient features from the input raw vibration signals and mapping them to the most likely fault labels is the essence of ...
B. Yu, C. Xie
doaj +1 more source
Machine Learning-Based Automated Fault Detection and Diagnostics in Building Systems
EnergiesAutomated fault detection and diagnostics analysis in commercial building systems using machine learning (ML) can improve the building’s efficiency and conserve energy costs from inefficient equipment operation.
William Nelson, Christopher Dieckert
doaj +1 more source
Battery System Fault Detection: A Data-Driven Aggregation and Augmentation Strategy
IEEE AccessIn applying machine learning to battery system fault detection, current methods encounter some challenges. Inadequate extraction of discriminative features and data imbalance notably hinder the accuracy and robustness of detection.
Zhiming Zhang +4 more
doaj +1 more source
Advancing Building Fault Diagnosis Using the Concept of Contextual and Heterogeneous Test
Energies, 2019 Fault diagnosis and maintenance of a whole-building system is a complex task to perform. A wide range of available building fault detection and diagnosis (FDD) tools are only capable of performing fault detection using behavioral constraints analysis ...
Mahendra Singh +4 more
doaj +1 more source
Mechanics & IndustryThe reliable operation of metal-enclosed gas-insulated equipment is crucial to high-voltage power systems, and accurate diagnosis of its status is the key to ensuring safe and efficient operation of the power grid.
Wang Jiayi +6 more
doaj +1 more source
A Multi-Domain Diagnostics Approach for Solenoid Pumps Based on Discriminative Features
IEEE Access, 2020 Accurate condition monitoring of industrial cyber-physical systems/components demands the use of reliable fault detection and isolation (FD&I) methodologies. Meta-heuristic algorithms for feature selection have good exploration capability for optimal
Ugochukwu Ejike Akpudo, Hur Jang-Wook
doaj +1 more source
Measurement + Control, 2018 This paper presents a water-level control system in a drum boiler. The system was equipped with a fault tolerant control–type diagnostic system. The paper presents the results of tests conducted on the fault tolerant control system implemented in the ...
Mariusz Pawlak
doaj +1 more source
Open-Switch Fault Diagnosis Method in Voltage-Source Inverters Based on Phase Currents
IEEE Access, 2019 Presently, condition monitoring and fault diagnostics in the three-phase voltage-source inverter (VSI) system are already considered essential to improve maintenance efficiency and increase reliability levels.
Zhang Jian-Jian +3 more
doaj +1 more source