Daren An , Qi An , Rui Zhou , Qi Cai , Yu Bai , Chong Shen , Huiliang Cao
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引用次数: 0
Abstract
With the increase in space exploration activities, there is a growing demand for vibration monitoring technologies that can operate stably in extreme cryogenic environments. In this paper, an improved variational modal decomposition (VMD) method based on the Chicken Swarm Optimization (CSO) algorithm is proposed for denoising of ultra-low temperature vibration sensors. The operating modes and frequencies of the sensor are verified through finite element simulation and ultra-low temperature vibration test, and the vibration signals are acquired. The acquired signals were denoised by applying EMD, VMD and CSO-VMD methods respectively, and the denoising effect was evaluated by signal-to-noise ratio (SNR) and mean square error (MSE). The results show that the CSO-VMD method has a significant advantage in reducing noise interference, and the denoising effect is improved by 33.35% and 13% compared with EMD and VMD, respectively. It also has an advantage over other nature-inspired optimization algorithms.
期刊介绍:
Sensors and Actuators A: Physical brings together multidisciplinary interests in one journal entirely devoted to disseminating information on all aspects of research and development of solid-state devices for transducing physical signals. Sensors and Actuators A: Physical regularly publishes original papers, letters to the Editors and from time to time invited review articles within the following device areas:
• Fundamentals and Physics, such as: classification of effects, physical effects, measurement theory, modelling of sensors, measurement standards, measurement errors, units and constants, time and frequency measurement. Modeling papers should bring new modeling techniques to the field and be supported by experimental results.
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• Optoelectronic sensors, such as: photovoltaic diodes, photoconductors, photodiodes, phototransistors, positron-sensitive photodetectors, optoisolators, photodiode arrays, charge-coupled devices, light-emitting diodes, injection lasers and liquid-crystal displays.
• Mechanical sensors, such as: metallic, thin-film and semiconductor strain gauges, diffused silicon pressure sensors, silicon accelerometers, solid-state displacement transducers, piezo junction devices, piezoelectric field-effect transducers (PiFETs), tunnel-diode strain sensors, surface acoustic wave devices, silicon micromechanical switches, solid-state flow meters and electronic flow controllers.
Etc...