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Fault prediction method based on big data

A fault prediction and big data technology, applied in prediction, data processing application, machine learning, etc., can solve the problem of inaccurate prediction of complex systems and achieve the effect of accurate prediction accuracy

Active Publication Date: 2022-07-22
SICHUAN DISCOVERY DREAM ELECTRONICS SCI & TECH
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Problems solved by technology

[0005] Aiming at the above-mentioned shortcomings in the prior art, the present invention provides a big data-based fault prediction method that solves the problem of inaccurate prediction of complex systems in existing methods for equipment fault prediction

Method used

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  • Fault prediction method based on big data
  • Fault prediction method based on big data

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Embodiment Construction

[0036] The specific embodiments of the present invention are described below to facilitate those skilled in the art to understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Such changes are obvious within the spirit and scope of the present invention as defined and determined by the appended claims, and all inventions and creations utilizing the inventive concept are within the scope of protection.

[0037] like figure 1 As shown, a fault prediction method based on big data includes the following steps:

[0038] S1. From the big data, extract the data set based on the time series in the normal working state of the equipment and the data set based on the time series in the abnormal state;

[0039] In big data, data such as temperature, pressure, current, voltage, load and heat can be extracted under normal and abnormal condit...

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Abstract

The invention belongs to the technical field of weapon equipment fault prediction, and relates to a fault prediction method based on big data, an abnormal data set is determined by comparing a data set in a normal state with a data set in an abnormal state, however, the abnormal data set is very large in data size and cannot obviously reflect data abnormity, and therefore the abnormal data set cannot obviously reflect data abnormity. According to the method, the sensing data are converted into abnormal data features, the corresponding relation between the abnormal data features and the fault events is found through the fault prediction model, the complex relation between the sensing data does not need to be analyzed, and the fault prediction model aims at the whole complex system, so that compared with a method for predicting faults through a single model, the method has more accurate prediction precision.

Description

technical field [0001] The invention relates to the technical field of failure prediction of weapon equipment, in particular to a failure prediction method based on big data. Background technique [0002] With the development of science, technology and industry, machinery and equipment are developing towards large-scale, high-speed and complex. Therefore, current weapons and equipment are usually composed of many components, with many structural levels, complex relationships between different components, and strong coupling. Once the weapon equipment system fails, it often endangers the life of the personnel. [0003] Therefore, in order to improve the reliability and safety of the weapon equipment system, it is necessary to carry out the failure prediction of the equipment, monitor the status data of the weapon equipment at any time, so as to predict the failures that will occur. [0004] Existing fault estimation methods based on principal component analysis have been su...

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Application Information

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IPC IPC(8): G06Q10/04G06N20/00
CPCG06Q10/04G06N20/00
Inventor 魏强杨金龙易明权
Owner SICHUAN DISCOVERY DREAM ELECTRONICS SCI & TECH
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