Edge computing for data anomaly detection of multi-sensors in underground mining

C Liu, X Su, C Li - Electronics, 2021 - mdpi.com
There is a growing interest in safety warning of underground mining due to the huge threat
being faced by those working in underground mining. Data acquisition of sensors based on …

Large-scale PFN fault diagnosis method based on multidimensional time series anomaly detection using convolutional neural network

J Lu, Z Delin, Z Yufeng - IEEE Transactions on Plasma Science, 2020 - ieeexplore.ieee.org
The fast fault diagnosis of large-scale pulse-forming network (PFN) of electromagnetic rail
launch system is of great significance. It is an important research direction to diagnose the …

Combined fuzzy time series prediction method for fault prediction of EML pulse capacitors

D Zeng, J Lu, Y Zheng - IEEE Transactions on Plasma Science, 2021 - ieeexplore.ieee.org
Metallized film capacitors are an important part of the electromagnetic rail launch system. It
is of great significance to predict its failure. In engineering, the failure law of capacitor is …

Fault diagnosis method of electromagnetic launch and recovery systems based on large-scale time series similarity search

Z Li, B Ouyang, X Cui, X Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Rapid fault diagnosis of electromagnetic launch and recovery (EMLR) Systems is of great
significance. It is an important research direction to diagnose the system fault by mining the …

Online Fault Diagnosis of Electromagnetic Launch System via Time Series Anomaly Detection

D Zeng, J Lu - IEEE Transactions on Plasma Science, 2024 - ieeexplore.ieee.org
As a special nonperiodic transient system, the electromagnetic launch system realizes the
conversion of ultrahigh power of energy in a few seconds, which is harmful when the system …

[PDF][PDF] 一种基于综合调优的数据库性能趋势预测方法

王小玲, 张小芳, 李宁, 韩承枫, 袁祝平… - 西北工业大学 …, 2020 - scholar.archive.org
云数据库智能运维中的重要应用场景之一是对监控采集的大量性能时序数据进行趋势预测.
提出一种基于Prophet 模型和ARIMA 模型的综合调优智能趋势预测方法AutoPA4DB (auto …

A Time Series Prediction Approach Based on Hybrid Tuning for Database Performance Indicator in AIOps

X Wang, X Zhang, N Li, C Han, Z Yuan… - Xibei Gongye Daxue …, 2020 - jnwpu.org
One of the most important applications of the intelligent operation and maintenance of a
cloud database is its trend prediction of key performance indicators (KPI), such as disk use …

Design of Intelligent Retrieval System for Visibility Animation Material Based on Data Mining

ZG Liu - 2020 IEEE International Conference on Industrial …, 2020 - ieeexplore.ieee.org
Due to the lack of information viscosity, the semantic consistency of the traditional visual
animation material intelligent retrieval system is poor. A visual animation material intelligent …