A bearing diagnostic and predictive maintenance method and system

By combining bearing vibration sensors, speed sensors, and edge gateways with a smart grease cup, the system achieves integrated acquisition and fusion analysis of multi-source signals from bearings. This solves the lubrication problem that traditional solutions cannot adapt to heavy-load and variable operating conditions, enabling precise diagnosis and lubrication, and improving the operational reliability and production continuity of the equipment.

CN122409189APending Publication Date: 2026-07-17NANJING HANYOU ELECTRONICS CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING HANYOU ELECTRONICS CO LTD
Filing Date
2026-04-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional bearing monitoring solutions lack integrated intelligent diagnostic capabilities, cannot adapt to heavy-load and variable operating conditions, and automatic lubrication devices cannot achieve precise lubrication, leading to production line downtime and economic losses.

Method used

By employing bearing vibration sensors, speed sensors, and edge gateways, combined with an intelligent grease cup, multi-source signals can be integrated for acquisition and fusion analysis. The fault characteristic frequencies can be automatically calculated for accurate diagnosis, and precise lubrication can be achieved through lubrication control strategies and pulse closed-loop control.

Benefits of technology

It achieves precise component-level diagnosis, adapts to varying lubrication requirements, reduces equipment downtime risks, and improves production continuity and lubrication accuracy.

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Abstract

本申请涉及轴承诊断维护技术领域,且公开了一种轴承诊断及预测性维护方法及系统,包括轴承振动传感器、转速传感器及边缘网关。可选配置温度传感器进而智能油脂杯;边缘网关根据轴承参数与转速计算内圈、外圈、滚动体、保持架故障特征频率,对振动信号进行频谱分析,结合故障特征频率及其谐波幅值与阈值判定部件损伤;可选地根据温度状态与诊断结果执行自适应润滑;基于历史运行数据实现轴承寿命预测,在异常时输出报警与更换提示。本申请实现多源信号一体化采集、部件级精准诊断、变工况自适应润滑与全流程闭环维护,适用于各类重载旋转机械轴承的智能诊断与预测性维护。
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