本产品通过实时采集生产设备的多源数据,深度融合先进数字信号处理、人工智能算法及专家知识库,对设备运行状态进行全天候监测、智能故障分析与精准溯源。一旦检测到异常,系统可快速诊断原因,自动生成并推送合理化维修建议至检修人员终端,指导现场精准维护。系统实现从“事后维修”向“预知检修”的模式转变,能够早期发现潜在故障,有效避免非计划停机,延长设备寿命,为选煤厂连续稳定生产提供智能化保障。
This product collects multi-source data from production equipment in real time, deeply integrating advanced digital signal processing, artificial intelligence algorithms, and an expert knowledge base to achieve round-the-clock monitoring of equipment operating conditions, intelligent fault analysis, and precise fault localization. Once an anomaly is detected, the system can rapidly diagnose the cause, automatically generate and push reasonable maintenance recommendations to maintenance personnel terminals, guiding on-site precision maintenance. The system enables a transition from "reactive maintenance" to "predictive maintenance," allowing early detection of potential faults, effectively avoiding unplanned downtime, extending equipment life, and providing intelligent assurance for the continuous and stable production of coal preparation plants.
技术参数
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故障类
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故障子类
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准确率
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转子相关类
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转子不平衡
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90%
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转子不对中
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转子弯曲
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动静件碰摩或摩擦
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基础故障
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基础松动
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85%
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滚动轴承相关类
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部件损坏
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85%
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润滑不良
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齿轮相关类
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齿轮磨损
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80%
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齿距误差
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齿轮偏心
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断齿
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流体相关类
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(风机)喘振
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80%
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旋转失速
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(泵)汽蚀
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滑动轴承相关类
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摩擦
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80%
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轴承间隙大
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润滑不良
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失稳
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