A Study on Predictive Analysis of Comprehensive Failure Levels of Equipment in Production Lines of Intelligent Manufacturing Projects

Intelligent manufacturing engineering production line equipment has many components with complex structure, and the faults presented are mostly compound faults, which not only directly affect the safety of production line equipment operation, but also directly affect the precision of processed workpieces. Intelligent manufacturing production line equipment operation management and maintenance to take advance effective failure degree prediction analysis, develop targeted operation and maintenance planning program, carry out failure prediction preventive maintenance, proposed a method based on intelligent manufacturing engineering production line equipment failure degree prediction analysis. Due to the difficulty of obtaining fault data in the actual operation and maintenance process of intelligent manufacturing engineering production line equipment in terms of temporality, nonlinearity and a large number of fault data samples, it is proposed to establish a fault simulation model by Multisim, expand the fault data set, construct a fault degree prediction and analysis model based on the failure degree of intelligent manufacturing engineering production line equipment, identify and predict the failure degree of the intelligent manufacturing engineering production line equipment; and in the intelligent manufacturing The effectiveness of the proposed method is verified in the actual operation and maintenance of production line equipment of intelligent manufacturing engineering.

Authors

Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1145/3756423.3756516
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on Predictive Analysis of Comprehensive Failure Levels of Equipment in Production Lines of Intelligent Manufacturing Projects

Yuancheng You, Jing-qiang Guo, Amal Zhuo Li, Yan Wei-min et al.
Technology and Data Analysis
article

A Study on Predictive Analysis of Comprehensive Failure Levels of Equipment in Production Lines of Intelligent Manufacturing Projects

Yuancheng You, Jing-qiang Guo, Amal Zhuo Li, Yan Wei-min, Yangqi Han, Na Zhang
article en

Abstract

Intelligent manufacturing engineering production line equipment has many components with complex structure, and the faults presented are mostly compound faults, which not only directly affect the safety of production line equipment operation, but also directly affect the precision of processed workpieces. Intelligent manufacturing production line equipment operation management and maintenance to take advance effective failure degree prediction analysis, develop targeted operation and maintenance planning program, carry out failure prediction preventive maintenance, proposed a method based on intelligent manufacturing engineering production line equipment failure degree prediction analysis. Due to the difficulty of obtaining fault data in the actual operation and maintenance process of intelligent manufacturing engineering production line equipment in terms of temporality, nonlinearity and a large number of fault data samples, it is proposed to establish a fault simulation model by Multisim, expand the fault data set, construct a fault degree prediction and analysis model based on the failure degree of intelligent manufacturing engineering production line equipment, identify and predict the failure degree of the intelligent manufacturing engineering production line equipment; and in the intelligent manufacturing The effectiveness of the proposed method is verified in the actual operation and maintenance of production line equipment of intelligent manufacturing engineering.

Openalex Percentile: Top 63%
Technology and Data Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.