Results 61 to 70 of about 6,585 (178)
Application of a Combined Active Control and Fault Detection Scheme to an Active Composite Flexible Structure. [PDF]
, 2006 In this paper, the problem of increasing reliability of active control procedure is considered. Indeed, a design method of rejection perturbation in presence of potentially faults, on a flexible structure with integrated piezo-ceramics, is presented. The
VERGÉ, Michel +3 more
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Non-Intrusive Fault Detection in Reciprocating Compressors [PDF]
, 2012 This research presents techniques developed for non-intrusive sensing and fault detection in reciprocating compressors driven by induction motors. These procedures are “non-intrusive” because they rely only on voltage and current signals measured on the ...
Leeb, Steven, Schantz, Christopher James
core
Two Stage Helical Gearbox Fault Detection and Diagnosis based on Continuous Wavelet Transformation of Time Synchronous Averaged Vibration Signals [PDF]
, 2012 Vibration signals from a gearbox are usually very noisy which makes it difficult to find reliable symptoms of a fault in a multistage gearbox. This paper explores the use of time synchronous average (TSA) to suppress the noise and Continue Wavelet ...
Gu, Fengshou +8 more
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Evaluation of Virtual Refrigerant Mass Flow Sensors [PDF]
, 2012 Refrigerant mass flow rate is an important measurement for monitoring equipment performance and enabling fault detection and diagnostics. However, a traditional mass flow meter is expensive to purchase and install. A virtual refrigerant mass flow sensor (
Kim, Woohyun, Braun, James E.
core
A Novel Fault Diagnosis Method of High-Speed Train Based on Few-Shot Learning
EntropyEnsuring the safe and stable operation of high-speed trains necessitates real-time monitoring and diagnostics of their suspension systems. While machine learning technology is widely employed for industrial equipment fault diagnosis, its effective ...
Yunpu Wu +3 more
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Results in EngineeringHydronic radiator faults in district-heated buildings can degrade comfort, alter return-water temperatures, and increase unnecessary heat use. Although many fault detection and diagnostics studies identify anomalies, fewer close the loop by translating ...
Nima Monghasemi +3 more
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Decoding pixels: A modular software prototype for cognitive image-based diagnostics of PV plants
EPJ PhotovoltaicsAlthough aerial infrared (aIRT) imagery-based solutions for diagnostics of PV plants demonstrate impressive time-efficiency and spatial resolution, they also suffer from considerable drawbacks: limited automation (hence, expert dependence) and ...
Tsanakas John Ioannis A. +1 more
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Applied SciencesThe growing size and complexity of industrial datasets have intensified the need for efficient fault diagnostics tools. This study addresses the challenge of handling large-scale data by developing a data-driven architecture for fault classification in ...
Meltem Süpürtülü +2 more
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ComputersDigital Twins (DTs) have become central to intelligent asset management within Industry 4.0, enabling real-time monitoring, diagnostics, and predictive maintenance.
Atuahene Kwasi Barimah +4 more
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A comprehensive analysis for wind turbine transformer and its limits in the dissolved gas evaluation
HeliyonThis study employs the PRISMA-A methodology to conduct a systematic review of transformer fault diagnostics using Dissolved Gas Analysis (DGA) data. A comprehensive analysis was performed across four major databases—IEEE, Scopus, ScienceDirect (Elsevier),
Ricardo Manuel Arias Velásquez
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