Agricultural Machinery Operation Posture Rapid Detection Intelligent Sensor Calibration Method Based on RBF Neural Network

Nan Feng Zhang; Jing Feng Yang; Yue Ju Xue; Zhong Li; Xiao Lin Huang

doi:10.4028/www.scientific.net/AMM.373-375.932

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 373-375Agricultural Machinery Operation Posture Rapid...

Agricultural Machinery Operation Posture Rapid Detection Intelligent Sensor Calibration Method Based on RBF Neural Network

Abstract:

Based on agricultural machinery body posture detection parameters and wheels gesture detection parameters collected by gyro inertial measurement unit, an agricultural machinery operation posture rapid detection method is proposed in this paper. The test results calibrated by RBF neural network show that, the test results of the method are accurate and available, and the method is effective and available for real-time body and wheel status data to further understand the agricultural machinery.

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Periodical:

Applied Mechanics and Materials (Volumes 373-375)

Pages:

932-935

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.373-375.932

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Online since:

August 2013

Authors:

Nan Feng Zhang, Jing Feng Yang, Yue Ju Xue, Zhong Li, Xiao Lin Huang

Keywords:

Agricultural Machinery, Calibration, Intelligent Sensor, Operation Posture, RBF Neural Network

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