振动监测集成技术在高压电动机故障判断的工程实践
集成电路应用
王铮
国家能源集团康平发电有限公司
摘要: 针对高压电动机工业连续运行场景下早期故障识别困难、传统监测方案集成度低、抗干扰能力弱等问题,该研究基于集成电路与嵌入式系统架构,开发了一种多通道振动信号采集、高速传输、实时处理与智能诊断一体化的集成监测技术。系统采用FPGA-ARM异构处理芯片、24位高精度ADC与IEPE传感接口,构建从前端感知到后端判决的全链路硬件架构;通过自适应滤波、时频联合分析与故障特征库匹配,实现轴承损伤、转子不平衡、气隙偏心等典型故障的在线识别与定位。
中图分类号:TM307文献标识码:ADOI:10.19339/j.issn.1674-2583.2026.04.008
中文引用格式:王铮. 振动监测集成技术在高压电动机故障判断的工程实践[J].集成电路应用,2026,43(4):45-48.
英文引用格式:Wang Zheng. Vibration monitoring integration technology in the engineering practice of fault detection for high-voltage motors[J].Application of IC,2026,43(4):45-48.
中文引用格式:王铮. 振动监测集成技术在高压电动机故障判断的工程实践[J].集成电路应用,2026,43(4):45-48.
英文引用格式:Wang Zheng. Vibration monitoring integration technology in the engineering practice of fault detection for high-voltage motors[J].Application of IC,2026,43(4):45-48.
Vibration monitoring integration technology in the engineering practice of fault detection for high-voltage motors
Wang Zheng
National Energy Group Kangping Power Generation Co., Ltd.
Abstract: In view of the problems that early faults of high-voltage motors are difficult to be accurately identified in industrial continuous operation scenarios, the traditional monitoring schemes have insufficient integration and weak anti-interference ability, this research designs an integrated monitoring technology for multi-channel vibration signal acquisition, high-speed transmission, real-time processing and intelligent diagnosis based on the architecture of integrated circuits and embedded systems. The system adopts FPGA-ARM heterogeneous processing chips, 24 bit high-precision ADC and IEPE sensing interface, and builds a full-link hardware architecture from the front-end perception to the back-end judgment; through adaptive filtering, time-frequency joint analysis and fault feature library matching, typical faults such as bearing damage, rotor imbalance and air gap eccentricity can be identified and located online.
Key words : high-voltage motor; vibration monitoring; integrated circuit; fault diagnosis; signal processing
引言
高压电动机作为电力、冶金、石化等领域的核心动力设备,其运行稳定性直接关系生产线安全与生产效率。振动信号是反映电动机机械与电磁状态的直接载体,传统分立监测设备存在通道同步性差、处理时延高、现场适配性不足等缺陷。随着集成电路、嵌入式计算与工业传感集成化技术快速发展,将多通道采集、信号调理、数据处理、故障诊断功能在芯片级与板级实现深度融合,成为高压电动机状态监测的主流方向[1]。本文围绕振动监测全流程集成技术开展研究,结合工程部署与实测数据,验证集成监测架构在高压电动机故障诊断中的工程应用价值。
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作者信息:
王铮
(国家能源集团康平发电有限公司,辽宁沈阳110500)

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