Fault prediction method based on machine learning

Abstract

The invention discloses a fault prediction method based on machine learning, which comprises the steps of 1) collecting set running index data of an object to be predicted, obtaining time series dataof each set running index, and collecting historical fault data of the object to be predicted; 2) respectively performing feature extraction on the data collected in the step 1), and inputting the extracted features into a machine learning system for training to obtain a basic fault prediction model; and 3) collecting real-time data of the set running indexes of the object to be predicted in running, performing feature extraction on the real-time data, inputting the extracted features into the basic fault prediction model, and predicting whether the object to be predicted has a fault or not atpresent. According to the method, the safe operation efficiency of equipment is improved, the maintenance time is shortened, the maintenance cost is reduced, the service life of the equipment is prolonged, and influences caused by the failure of some equipment are reduced or avoided.

Description

technical field [0001] The invention belongs to the field of artificial intelligence machine learning and relates to a maintenance method, in particular to a fault prediction method based on machine learning. Background technique [0002] At present, in people's real life, the dependence on systems and machines has exceeded people's imagination. Daily travel involves driving, taking elevators, taking high-speed rail or airplanes, etc., and in the manufacturing and production of enterprises, machines have liberated workers, but these machines or systems will fail, some failures are just inconvenience, while some failures are a matter of life and death. [0003] When the stakes are high, routine maintenance of the system is required. Because the cost of failure is much higher than the cost of appearance. For example, high-speed rail is routinely inspected every day, cars are maintained every few months, and aircraft are maintained once a day. This method will lead to a serio...

AI Technical Summary

Problems solved by technology

For example, high-speed rail is routinely inspected every day, cars are maintained every few months, and aircraft are maintained once a day. This method will lead to a serious waste of resources, resulting in excessive and even redundant maintenance.

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