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Research on Intelligent Diagnosis for Early Faults in Three-Phase Equipment

机译:三相设备早期故障智能诊断研究

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The method of earlier stage fault intelligent prediction and diagnosis of three-phase equipments has been put forward based on expert system and neural network, by searching the parameters and signals that indicate the state of induce motor and analyzing their changing characters. Owing to the use the method, it is easy to detect early faults and separate a fault from others with the aid of powerful parallel processing and the non-linear reflective ability of intelligent measures of expert system and nerve network etc. So this realized earlier period faults intelligent diagnosis and prediction for induce motor.
机译:通过搜索指示诱导电机状态的参数和信号并分析变化字符,基于专家系统和神经网络,提出了早期阶段故障智能预测和诊断三相设备的诊断。由于使用该方法,借助于强大的并行处理和专家系统和神经网络智能措施的智能措施的非线性反射能力等,易于检测早期断层并将故障分离出来的早期故障并将故障分开。这是最早实现的故障智能诊断和预测诱导电动机。

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