Open AccessFault monitoring of inner frame paper cutting transmission coupling of packaging machine based on intelligent analysis of noise
Author(s) -
Guangcai Li,
Huanju Zhen,
Deji Wang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/892/1/012086
Subject(s) - frame (networking) , noise (video) , fault (geology) , coupling (piping) , computer science , feature extraction , transmission (telecommunications) , feature (linguistics) , engineering , artificial intelligence , mechanical engineering , telecommunications , linguistics , philosophy , seismology , image (mathematics) , geology
This article analyzes the noise signal of the packaging machine coupling through artificial intelligence technology, performs feature extraction and analysis on it, and realizes the status recognition and health analysis of the device. This method can successfully analyze the machinery and equipment to find the manual inspection. The problem that is neglected, the method of monitoring packaging equipment through noise energy is a new method with great potential for the actual plant environment.