The embodiment of the invention relates to the technical field of special equipment maintenance, in particular to an elevator brake fault lossless online diagnosis and fatigue prediction method and system. The method comprises the following steps: acquiring action data and braking times when a single ladder brake acts on line, wherein the action data comprises sound data, vibration data, current data, braking distance and load; when it is judged that the sudden stop state occurs, action data of the sudden stop stage are extracted and obtained immediately and recorded as sudden stop action data; according to comparison between the sudden stop action data and a pre-established fault diagnosis model, a fault diagnosis result is obtained; and when the fault diagnosis result is no fault, comparing the action data with a preset brake fatigue baseline to obtain a fatigue prediction result of the single ladder brake. According to the method, fault diagnosis and fatigue prediction can be carried out, 125% load test is avoided, the safety is higher, the elevator and the brake are not damaged, and online detection is achieved.
本说明书的多个实施例涉及特种设备维护技术领域,具体涉及一种电梯制动器故障无损在线诊断及疲劳度预测方法和系统。所述方法包括步骤:在线采集单梯制动器动作时的动作数据及制动次数,所述动作数据包括声音数据、振动数据、电流数据、制动距离和载重;当判断出现急停状态时,立即提取获得急停阶段的动作数据,记为急停动作数据;根据急停动作数据与预先建立的故障诊断模型的比对,获得故障诊断结果;当所述故障诊断结果为无故障时,将动作数据与预设的制动器疲劳基线比对,获得单梯制动器的疲劳度预测结果。能够进行故障诊断以及疲劳度的预测,避免进行125%载荷试验,具有更高的安全性,对电梯及制动器无损害,且实现了在线的检测。
Elevator brake fault lossless online diagnosis and fatigue prediction method and system
电梯制动器故障无损在线诊断及疲劳度预测方法和系统
2025-05-09
Patent
Electronic Resource
Chinese
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