修正“LPDD-SSAN：有限物理数据扩散引导选择稀疏感知关注网络发动机气门磨损预测”

IF 5.6 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Instrumentation and Measurement Pub Date : 2025-07-10 DOI:10.1109/TIM.2025.3581816

Jilong Guo;Rui Li;Guodong Li;Yao Gong;Enzhe Song;Yanmin Zhou;Xianghui Meng

引用次数: 0

摘要

在上述文章[1]中，图11的标题应为：“阀门振动的频域结果”。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Corrections to “LPDD-SSAN: Limited Physics Data Diffusion Guided Selection Sparsity-Aware Attention Network for Engine Valve Wear Prediction”

In the above article [1], the caption for Fig. 11 should be: “Frequency-domain results of valve vibration.”

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Transactions on Instrumentation and Measurement 工程技术-工程：电子与电气

CiteScore

9.00

自引率

23.20%

发文量

1294

审稿时长

3.9 months

期刊介绍： Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.