智能传感器在机电设备状态监测中的实践应用

Application of Intelligent Sensor in Condition Monitoring of Electromechanical Equipment

摘要

当前，智能传感器已在风电发电机组、汽车生产线、电力变压器等多种机电设备中实现实践应用，通过对振动、温度、电流等关键参数的实时监测，有效降低了故障损失，提升了运维效率。然而，不同行业机电设备的运行环境、结构特性存在差异，智能传感器的选型标准、部署方案与数据应用逻辑仍需针对性优化。基于此，本文立足实践视角，深入探讨智能传感器在机电设备状态监测中的典型应用场景，剖析其技术实现路径与应用成效，总结实践中的关键问题与解决思路，旨在为相关企业的智能化运维升级提供实践参考，推动智能传感技术与机电设备管理的深度融合。

Abstract

Currently, smart sensors have been widely implemented in various electromechanical equipment such as wind turbine generators, automotive production lines, and power transformers. By enabling real-time monitoring of critical parameters including vibration, temperature, and current, these sensors effectively reduce operational losses and enhance maintenance efficiency. However, given the varying operating environments and structural characteristics of electromechanical equipment across industries, the selection criteria, deployment strategies, and data application logic of smart sensors still require targeted optimization. This paper, grounded in practical perspectives, explores typical application scenarios of smart sensors in electromechanical equipment condition monitoring. It analyzes their technical implementation pathways and application outcomes, summarizes key challenges encountered in practice, and proposes solutions. The study aims to provide actionable references for enterprises upgrading intelligent maintenance systems and promote the deep integration of smart sensing technology with electromechanical equipment management.

关键词

智能传感器 / 机电设备 / 状态监测 / 预测性维护 / 声振温监测

Key words

smart sensor / electromechanical equipment / condition monitoring / predictive maintenance / acoustic vibration temperature monitoring

参考文献

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