Security Job Management System Based on RFID and IOT Technology

Liu, Mujie; Yu, Wei; Xu, Ming

doi:10.1109/iccar49639.2020.9108042

2020 6th International Conference on Control, Automation and Robotics (ICCAR) 2020

DOI: 10.1109/iccar49639.2020.9108042

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Security Job Management System Based on RFID and IOT Technology

Mujie Liu

Wei Yu

Ming Xu

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2024

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Optimization of aero-engine condition monitoring by autoregressive model analysis based on wireless communication

Xin,

Ye,

Liu

et al. 2024

Measurement and Control

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The high value of aero-engines makes it necessary to extend their life in terms of econ-omy of use. Health management is an important basis for this work. Background: The vibration signal is an important representation of the working state of an aero-engine. The current usual method is based on wired communication with simple waveform presentation. The many incon-veniences of this method have seriously affected the further development of this work. Methods: This research team acquires engine vibration signals in real time through a designed wireless signal sensor, and then analyzes and visualizes the signals in depth. Results: Through this method, it can visually and effectively demonstrate signal characteristics for engineers, effectively identify fault signals, and monitor engine operating conditions in real time. Conclusions: The method enables the optimization of aero-engine work-state monitoring.

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Optimization of aero-engine condition monitoring by autoregressive model analysis based on wireless communication

Xin,

Ye,

Liu

et al. 2024

Measurement and Control

View full text Add to dashboard Cite

show abstract

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Security Job Management System Based on RFID and IOT Technology

Cited by 1 publication

References 1 publication

Optimization of aero-engine condition monitoring by autoregressive model analysis based on wireless communication

Optimization of aero-engine condition monitoring by autoregressive model analysis based on wireless communication

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