安全、健康和环境2026，Vol.26Issue(1)：22-26,5.DOI:10.3969/j.issn.1672-7932.2026.01.004
基于SSA-RVM的储罐底板腐蚀轻量化在线评价方法
A Lightweight Online Evaluation Method for Tank Bottom Plate Corrosion Based on SSA-RVM
郑兴宇 1刘越 1兰正贵 1叶成龙 1李金峰1
作者信息
- 1. 中石化安全工程研究院有限公司,山东 青岛 266104||中石化国家石化项目风险评估技术中心有限公司,山东 青岛 266104
- 折叠
摘要
Abstract
To address the reliance on expert experience and subjective signal interpretation in acoustic e-mission evaluation of tank bottom plate corrosion,this study proposes a lightweight(referring to low computa-tional complexity enabling deployment on edge devices)online evaluation method based on Sparrow Search Al-gorithm-optimized Relevance Vector Machine(SSA-RVM).This method integrates the dynamic characteristics of acoustic emission with the macroscopic static parameters of storage tanks to construct a multi-source data-driv-en evaluation model.The experimental results showed that the average prediction accuracy of the model reached 87%,and the identification accuracy for high-risk levels(levels Ⅲ and Ⅳ)exceeded 80%.It realizes the rap-id and objective diagnosis of the corrosion state under the small-sample conditions(i.e.,limited labeled data for modeling,such as 100 items,which is far less than the scale required by traditional data-driven methods).It provides reproducible data support for predictive maintenance of in-service storage tanks.关键词
储罐底板腐蚀/声发射/麻雀搜索算法/相关向量机/轻量化评价/小样本Key words
tank bottom plate corrosion/acoustic emission/Sparrow Search Algorithm/Relevance Vector Machine/lightweight evaluation/small sample分类
矿业与冶金引用本文复制引用
郑兴宇,刘越,兰正贵,叶成龙,李金峰..基于SSA-RVM的储罐底板腐蚀轻量化在线评价方法[J].安全、健康和环境,2026,26(1):22-26,5.
