首页|Studies from China University of Mining and Technology Yield New Data on Robotic s (Spatial Localization of a Transformer Robot Based on Ultrasonic Signal Wavele t Decomposition and PHAT-b-g Generalized Cross Correlation)
Studies from China University of Mining and Technology Yield New Data on Robotic s (Spatial Localization of a Transformer Robot Based on Ultrasonic Signal Wavele t Decomposition and PHAT-b-g Generalized Cross Correlation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in robotics. According to news reporting originating from Xuzhou, People's Republic of China, by NewsRx correspondents, research stated, "Because large oil-immerse d transformers are enclosed by a metal shell, the on-site localization means it is difficult to achieve the accurate location of the patrol micro-robot inside a given transformer." Financial supporters for this research include National Natural Science Foundati on of China; Natural Science Foundation of Shandong Province. The news reporters obtained a quote from the research from China University of M ining and Technology: "To address this issue, a spatial ultrasonic localization method based on wavelet decomposition and PHATb- g generalized cross correlation is proposed in this paper. The method is carried out with a five-element stereo ultrasonic array for the location of a transformer patrol robot. Firstly, the l ocalization signal is decomposed into wavelet coefficients of different scales, which would realize the adaptive decomposition of the frequency of the localizat ion signal from low frequencies to high frequencies. Then, the wavelet coefficie nts are denoised and reconstructed by using the semi-soft threshold function. Se cond, a modified phase transform-beta-gamma (PHAT-b-g) method is used to calcula te the exact time delay between different sensors by increasing the weights of t he PHAT weighting function and introducing a correlation function."
China University of Mining and Technolog yXuzhouPeople's Republic of ChinaAsiaEmerging TechnologiesMachine Lear ningRobotRobotics
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