Equipment residual life prediction method and system

A prediction method and equipment technology, applied in the direction of prediction, computer-aided design, design optimization/simulation, etc., can solve the problems of inability to quantify remaining life, inability to apply maintenance decision-making and spare parts ordering, etc., to ensure the efficiency of task completion and reduce the risk of failure , the effect of improving the prediction accuracy

Active Publication Date: 2020-02-11
中国人民解放军火箭军工程大学
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Problems solved by technology

However, the method based on DBN can only obtain the predicted value of the remaining life, but cannot quantify the remaining life, and cannot be applied to the theory of maintenance decision-making and spare parts ordering

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  • Equipment residual life prediction method and system
  • Equipment residual life prediction method and system
  • Equipment residual life prediction method and system

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Embodiment Construction

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0062] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0063] figure 1 It is a schematic flow chart of the method for predicting the remaining life of the equipment of the present invention. Such as figure 1 As shown, the forecasting method includes the following st...

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Abstract

The invention discloses an equipment residual life prediction method and system. The method comprises the steps of obtaining historical operation data of a to-be-predicted equipment; training a deep belief network by adopting historical operation data to obtain a trained deep belief network; obtaining current operation data of the to-be-predicted equipment; performing feature extraction on the current operation data by adopting the trained deep belief network to obtain a feature set; performing local linear embedding operation on the feature set to obtain a health factor; based on the diffusion process, obtaining a relation model of health factors and time; predicting the residual life of the to-be-predicted equipment according to the relation model of the health factor and the time; and determining probability density distribution of the residual life of the to-be-predicted equipment according to the residual life of the to-be-predicted equipment. The method and the system are suitable for quantitative prediction of the residual life on the basis of mass data analysis.

Description

technical field [0001] The invention relates to the technical field of engineering reliability analysis, in particular to a method and system for predicting the remaining life of equipment. Background technique [0002] With the advancement of Internet of Things technology, engineering equipment has gradually become more complex, automated and intelligent, and at the same time, more stringent requirements have been put forward for the safety and reliability of equipment. Remaining life prediction, as an important part of prediction and health management, mainly uses condition monitoring information and other historical information during the equipment life cycle to analyze and determine the normal operation time of equipment, providing reliable technical support for maintenance decisions. [0003] Remaining life prediction has achieved a large number of theoretical research results in the academic field. Existing RUL prediction methods can be divided into failure mechanism-...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06Q10/04G06Q10/06G06K9/62G06F119/04
CPCG06Q10/04G06Q10/0639G06F18/214
Inventor 胡昌华裴洪司小胜李天梅张建勋庞哲楠
Owner 中国人民解放军火箭军工程大学
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