Fault prediction method and system for intelligent manufacturing equipment based on neural network model

Abstract

The invention discloses a fault prediction method and a system for intelligent manufacturing equipment based on a neural network model, wherein, the method comprises the following steps: acquiring a running time-long parameter of the equipment, an average running load parameter in the running time and a daily average running time-long parameter in the running time; According to the running parameters of the equipment, the average running load parameter in the running time and the average running time parameter in the running time, the running data parameter set of the equipment is constructed.The parameters in the constructed equipment operation data parameter set are normalized to obtain the normalized equipment operation data parameter set; the normalized set of equipment running data is input into the trained neural network model to predict and analyze the equipment failure time, and the predicted results are outputted. In the embodiment of the invention, through the trained neuralnetwork model to predict the running data parameters of the equipment, the time when the equipment will fail can be predicted more accurately.

Description

technical field [0001] The invention relates to the technical field of intelligent manufacturing, in particular to a method and system for fault prediction of intelligent manufacturing equipment based on a neural network model. Background technique [0002] Intelligent Manufacturing (Intelligent Manufacturing, IM) is a human-machine integrated intelligent system composed of intelligent machines, intelligent production lines and human experts. It can perform intelligent activities in the manufacturing process, such as analysis, reasoning, judgment, conception and decision-making. Wait. Through the cooperation of humans and intelligent machines, to expand, extend and partially replace the mental work of human experts in the manufacturing process. It updates the concept of manufacturing automation and extends it to flexibility, intelligence and high integration. [0003] Improve product manufacturing efficiency and production line utilization efficiency and optimize productio...

AI Technical Summary

Problems solved by technology

[0003] Improve product manufacturing efficiency and production line utilization efficiency and optimize production line scheduling through intelligent manufacturing; however, failures of production line equipment often cannot be predicted in advance, resulting in failure of effective production in intelligent manufacturing production lines due to equipment failures, and Failure to make corresponding preparations before equipment failures will prolong the equipment maintenance or replacement cycle, seriously affecting the production efficiency of intelligent manufacturing production lines

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