The Analysis on Fire Smoke Exhausting Robot Vibration Based on Wavelet Transform

Abstract:

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Belt relaxation, which affects a lot on operation reliability of the fire smoke exhausting robot, is hard to detect. In this paper, a new method for belt relaxation feature recognition based on continuous wavelet transform (CWT) is proposed, and a vibration model which simplified the robot as a 2-dof forced vibration system under harmonic excitation is established. The vibration acceleration signal has been collected using the IEPE sensor and data acquisition card, experimental results verified the accuracy of the vibration model, and weak impact signal caused by the belt relaxation was distinguished, that testify the practicability of the CWT method in belt relaxation feature recognition.

Info:

Periodical:

Advanced Materials Research (Volumes 328-330)

Edited by:

Liangchi Zhang, Chunliang Zhang and Zichen Chen

Pages:

1887-1891

DOI:

10.4028/www.scientific.net/AMR.328-330.1887

Citation:

S. Fang et al., "The Analysis on Fire Smoke Exhausting Robot Vibration Based on Wavelet Transform", Advanced Materials Research, Vols. 328-330, pp. 1887-1891, 2011

Online since:

September 2011

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Price:

$35.00

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