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分析了数控机床故障诊断系统的研究现状、数控机床常规诊断方法及其局限性、机床故障诊断的因果关系,并概要描述了危险剧情的推理思路。随后,提出了基于危险剧情和神经网络联想记忆的数控机床故障诊断模型,并分别对物理模型、数学模型及数学模型解算进行了深入讨论。最后对这种模型的应用环境进行了分析和总结。结论显示这种模型从系统的角度出发,弥补了以往数控诊断系统只能逆向推理的缺点,同时采取带联想记忆的顺向推理机制,可以实时监测故障产生前的各个环节,并提前预警。
The status quo of CNC machine tool fault diagnosis system, the conventional diagnosis method of NC machine tool and its limitations, the causal relationship between machine tool fault diagnosis and the reasoning of the dangerous story are also described. Subsequently, the fault diagnosis model of NC machine tools based on dangerous storyline and neural network associative memory is proposed, and the physical model, mathematical model and mathematical model solution are discussed in depth. Finally, the application environment of this model is analyzed and summarized. The conclusion shows that this model can make up for the shortcomings of past CNC diagnosis system that can only reverse reasoning, and forward forward reasoning mechanism with associative memory can be used to monitor every link before fault occurs in real time and to give early warning in advance.