基于远程诊断系统的发动机技术状态寿命预测与评估

Q4 Materials Science

Steel in Translation Pub Date : 2023-11-29 DOI:10.3103/s0967091223090103

A. A. Pegachkov

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引用次数: 0

摘要

摘要:本文通过研制一种能够对被检发动机的技术状态进行评估的远程诊断系统，研究了柴油机技术状态评估的有关问题。通过对读取和存储的诊断数据的分析，系统可以计算并修正其临界值。这些系统功能使解决与使用寿命预测相关的问题成为可能。基于在系统状态和每个诊断参数实时获得的数据之间建立联系的算法，使用了具有自学习可能性的特殊子系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Service Life Prediction and Evaluation of the Technical Condition of Engines Based on Remote Diagnostic System

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Service Life Prediction and Evaluation of the Technical Condition of Engines Based on Remote Diagnostic System

Abstract

The paper considers issues related to the assessment of technical condition of diesel engines by creating a remote diagnostic system capable of assessing the technical condition of the engine under check. Based on the analysis of the read and stored diagnostic data, the system can calculate and correct their critical values. These system capabilities make it possible to solve problems related to service life forecasting. Special subsystems with the possibility of self-learning are used, based on algorithms that establish a connection between the system states and data obtained in real time for each diagnostic parameter.

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来源期刊

Steel in Translation Materials Science-Materials Science (all)

CiteScore

0.60

自引率

0.00%

发文量

期刊介绍： Steel in Translation is a journal that represents a selection of translated articles from two Russian metallurgical journals: Stal’ and Izvestiya Vysshikh Uchebnykh Zavedenii. Chernaya Metallurgiya . Steel in Translation covers new developments in blast furnaces, steelmaking, rolled products, tubes, and metal manufacturing as well as unconventional methods of metallurgy and conservation of resources. Papers in materials science and relevant commercial applications make up a considerable portion of the journal’s contents. There is an emphasis on metal quality and cost effectiveness of metal production and treatment.