Results 41 to 50 of about 6,585 (178)
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
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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
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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
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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
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Structural Analysis of a Vehicle Dynamics Model for Fault Detection and Isolation on the ROboMObil [PDF]
, 2013 The ROboMObil, a mobility prototype under development at the DLR, differs from most current road vehicles with its high degree of overactuation with regards to the vehicle dynamics.
Lok Man Ho, Ho, Lok Man
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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
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Bearing defect detection and diagnosis using a time encoded signal processing and pattern recognition method [PDF]
, 2012 Many new bearing monitoring and diagnosis methods have been explored in the last two decades to provide a technique that is capable of picking up an incipient bearing fault.
Gu, Fengshou +7 more
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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
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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
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Derived Power Streams for Fault Detection and Condition-Based Maintenance
IEEE AccessNonintrusive electrical monitoring enables fault detection and diagnostics for power systems from an aggregate monitoring point. Faulty electromechanical equipment often produces unrecognizable electrical signatures that confound data-driven techniques ...
Aaron W. Langham +2 more
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