基于机器学习的特种设备检测与故障诊断方法分析
Analysis of Machine Learning Based Special Equipment Detection and Fault Diagnosis Methods
姜枫1
作者信息
- 1. 甘肃省特种设备检验检测研究院,甘肃 730050
- 折叠
摘要
阐述针对特种设备故障诊断的现状和问题,提出基于不同人工智能和机器学习算法的特种设备检测与故障诊断方法.该方法具有较高的准确性和鲁棒性,能够有效地发现和预测特种设备的故障.
Abstract
This paper describes the current situation and problems of fault diagnosis for special equipment,and proposes special equipment detection and fault diagnosis methods based on different artificial intelligence and machine learning algorithms.This method has high accuracy and robustness,and can effectively detect and predict faults in special equipment.
关键词
智能控制/机器学习/特种设备/故障诊断Key words
intelligent control/machine learning/special equipment/fault diagnosis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据