Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Vibration-based condition monitoring"'
Review of Data Processing Methods Used in Predictive Maintenance for Next Generation Heavy Machinery
Publikováno v:
Data, Vol 9, Iss 5, p 69 (2024)
Vibration-based condition monitoring plays an important role in maintaining reliable and effective heavy machinery in various sectors. Heavy machinery involves major investments and is frequently subjected to extreme operating conditions. Therefore,
Externí odkaz:
https://doaj.org/article/29b1b87b4b1b4ed9b523b5395d5adf50
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3494 (2024)
This paper presents the implementation of a synchronous Structural Health Monitoring (SHM) framework utilizing wireless, low-cost, and off-the-shelf components. Vibration-based condition monitoring plays a crucial role in assessing the reliability of
Externí odkaz:
https://doaj.org/article/a5485efc993041e1bd72edc4fff08fea
Publikováno v:
Sensors, Vol 24, Iss 3, p 740 (2024)
Heavy machinery allows for the efficient, precise, and safe management of large-scale operations that are beyond the abilities of humans. Heavy machinery breakdowns or failures lead to unexpected downtime, increasing maintenance costs, project delays
Externí odkaz:
https://doaj.org/article/657f82915df545e68aaee401f9c22122
Autor:
Marx, Douw
The reliable operation of planetary gearboxes is critical for the sustained operation of many machines such as wind turbines and helicopter transmissions. Hybrid methods that make use of the respective advantages of physics-based and data-driven mode
Externí odkaz:
http://hdl.handle.net/2263/78157
Autor:
Ellis, Brian
This dissertation proposes hybrid models for (i) diagnosis and (ii) remaining useful life estimation of a single fatigue crack in a low-pressure turbine blade. The proposed hybrid methods consist of physics-based methods and data-driven methods. In t
Externí odkaz:
http://hdl.handle.net/2263/73315
Akademický článek
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Autor:
Hosameldin O. A. Ahmed, Asoke K. Nandi
Publikováno v:
Entropy, Vol 24, Iss 4, p 511 (2022)
As failures of rolling bearings lead to major failures in rotating machines, recent vibration-based rolling bearing fault diagnosis techniques are focused on obtaining useful fault features from the huge collection of raw data. However, too many feat
Externí odkaz:
https://doaj.org/article/c3ad24f491b34e50a55ebde5cebc3123
Autor:
Angela Meyer
Publikováno v:
Energies, Vol 15, Iss 4, p 1514 (2022)
A growing number of wind turbines are equipped with vibration measurement systems to enable the close monitoring and early detection of developing fault conditions. The vibration measurements are analyzed to continuously assess the component health a
Externí odkaz:
https://doaj.org/article/8be9c4c155a0492897b4c459ed9e03fe
Akademický článek
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Autor:
Ruifeng Cao, Akilu Yunusa-Kaltungo
Publikováno v:
Sensors, Vol 21, Iss 9, p 2957 (2021)
The feasibility and usefulness of frequency domain fusion of data from multiple vibration sensors installed on typical industrial rotating machines, based on coherent composite spectrum (CCS) as well as poly-coherent composite spectrum (pCCS) techniq
Externí odkaz:
https://doaj.org/article/9df5bbfe4bc549b69e4656e0d206fdb2