The Analysis on Fire Smoke Exhausting Robot Vibration Based on Wavelet Transform-Reference-Cited by-同舟云学术

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

Published:2011-09 Issue: Volume:328-330 Page:1887-1891
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Fang Shu¹,Hu Bin,Liu Sheng Peng²

Affiliation:

1. Shanghai Fire Research Institute of Ministry of Public Security

2. Shanghai Fire Institute of Ministry of Public Security

Abstract

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.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.328-330.1887.pdf

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