机械热动设备的智能监测与故障诊断技术研究

Research on intelligent monitoring and fault diagnosis technology of mechanical thermal equipment

摘要

本文聚焦机械热动设备的智能监测与故障诊断技术。该技术因设备故障致经济损失、安全威胁而生，国外应用成熟，国内发展快但有差距。智能监测含传感器、数据采集传输及处理分析，振动等监测技术各有优势，多参数融合更优。故障诊断有基于模型、数据、知识三类方法，机器学习和深度学习提升诊断力，且实现网络化、多学科融合。二者联用可提设备可靠性、降成本等，电厂和化工厂案例已验证。当前技术面临数据处理等挑战，相应提出优化采集处理等方案。未来，多技术融合将促其广泛应用，助力工业智能化

Abstract

This paper focuses on the intelligent monitoring and fault diagnosis technology of mechanical and thermodynamic equipment. The technology is born due to economic losses and security threats caused by equipment failure, and its foreign application is mature, while domestic development is fast but there is a gap. Intelligent monitoring includes sensors, data acquisition, transmission, processing and analysis, vibration and other monitoring technologies have their own advantages, and multi-parameter fusion is better. There are three types of fault diagnosis methods based on model, data and knowledge, machine learning and deep learning to improve diagnosis ability, and realize networked and multidisciplinary integration. The combination of the two can improve equipment reliability and cost reduction, and the case of power plants and chemical plants has been verified. The current technology is facing challenges such as data processing, and solutions such as optimizing collection and processing are proposed accordingly. In the future, the integration of multiple technologies will promote its wide application and help industrial intelligence

关键词

机械热动设备 / 智能监测 / 故障诊断 / 物联网

Key words

mechanical and thermodynamic equipment / intelligent monitoring / fault diagnosis / Internet of Things

参考文献

[1] 刘雨, 范怀伟, 黄沛林, 等. 施工现场大型机械设备智能监测系统的应用[J]. 工程技术研究, 2019, 4(5): 123-124. DOI: 10.3969/j.issn.1671-3818.2019.05.063.

[2] 王楠. 浅谈机械设备故障诊断与监测的常用方法及其发展趋势[J]. 中国设备工程, 2024(1): 159-161. DOI: 10.3969/j.issn.1671-0711.2024.01.066.

[3] 黄国虎. 机械设备的管理和维修措施及故障诊断分析[J]. 机电产品开发与创新, 2025, 38(02): 133-136.