System for Automatic Separation of Sugar Cane Tops

Huang, Lihan; Imou, Kenji; Kaizu, Yutaka; Yokoyama, S.

doi:10.13031/2013.19169

Cited by 4 publications

(2 citation statements)

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“…For alarming issue, early warning systems in wind power and maintenance optimization devices are designed. Huang proposes a research idea and framework for wind generator operation and maintenance decision-making [2]. Meng conducts research on the structure of common water-cooled wind power gearboxes and analyzed the change rules of key parameters in the gearboxes and established a diagnostic model [3].…”

Section: Introductionmentioning

confidence: 99%

A study on the use of digital twin in wind generator gears

2023

ACE

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With the demand for clean energy is increasing, wind power generators are becoming more common. Although the wind power generation industry has broad prospects for development, there are still problems in wind generator maintenance, especially faulty detection and repair. In order to increase the efficiency of maintenance, the digital twin technology can be used. The mathematical model and the fault tree can help to spend less time alarming. In this article, the use of digital twin in the maintenance and faulty detection of wind generators is analyzed. The methods of faulty detection and the model of fault tree in the maintenance of the wind generator are summarized. In addition, a faulty detection method is proposed through YOLOv5. This method can detect the fault without contacting the gears. The database of faulty detection can be optimized as well. This article may offer a reference for digital twin and fault detection in wind generators.

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Section: Introductionmentioning

confidence: 99%

A study on the use of digital twin in wind generator gears

2023

ACE

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“…It might be also possible that during inflation EDE corresponds to one lower energy vacuum in multiple-vacua landscape, which is associated with birth of supermassive primordial black holes, e.g. [93,94]. Recently, it has been showed that EDE could be implemented naturally in string theory [95][96][97], thus the moduli trapping in corresponding contexts is also worth studying.…”

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Community structure of macroinvertebrates in northern Hangzhou Bay

Zhou¹,

Hong²

2018

Journal of Fishery Sciences of China

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The computational cost of searching for gravitational wave (GW) signals in low latency has always been a matter of concern. We present a self-supervised learning model applicable to the GW detection. Based on simulated massive black hole binary signals in synthetic Gaussian noise representative of space-based GW detectors Taiji and LISA sensitivity, and regarding their corresponding datasets as a GW twins in the contrastive learning method, we show that the self-supervised learning may be a highly computationally efficient method for GW signal identification.

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Separation Technique for Raisins and Stems Utilizing Characteristics of Polarization

Kitaoka¹,

Hosotani²,

Ohmiya³

et al. 2010

Jpn. J. Appl. Phys.

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We have improved the accuracy of the laser separation of stems from raisin samples on the basis of the degree of polarization of scattered light from raisins and stems. The specular reflection from wet raisins was minimized by regulating the degree of polarization of their scattered emissions. Wet and dry raisins were therefore judged as the same samples. Using these polarization characteristics, wet or dry raisins were separated from their stems in our laser inspection system. The detection error was reduced from 25 to 7% in our system.

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System for Automatic Separation of Sugar Cane Tops

Cited by 4 publications

References 0 publications

A study on the use of digital twin in wind generator gears

A study on the use of digital twin in wind generator gears

Community structure of macroinvertebrates in northern Hangzhou Bay

Separation Technique for Raisins and Stems Utilizing Characteristics of Polarization

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