Equipment residual life imperfect maintenance prediction method based on indirect monitoring data

A technology of monitoring data and prediction methods, applied in computer-aided design, design optimization/simulation, geometric CAD, etc., can solve problems such as low prediction accuracy and unguaranteed accuracy of prediction results, achieve accurate prediction results, and shorten the prediction cycle , the effect of reducing the forecast cost

Active Publication Date: 2020-03-06
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Abstract
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Problems solved by technology

Since the degradation failure of high-cost and long-life equipment is closely related to its performance degradation, the accuracy of the final prediction result cannot be guaranteed, and the prediction accuracy is low

Method used

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  • Equipment residual life imperfect maintenance prediction method based on indirect monitoring data
  • Equipment residual life imperfect maintenance prediction method based on indirect monitoring data
  • Equipment residual life imperfect maintenance prediction method based on indirect monitoring data

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Embodiment Construction

[0042] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0043] In this embodiment, the gyroscope of the inertial navigation system is used as the target device, and a method for predicting the remaining life of equipment based on indirect monitoring data for imperfect maintenance prediction of the present invention is used to predict the remaining life, such as figure 1 As shown, the specific steps are as follows:

[0044] S1: Analyze the physical structure of the equipment and identify key parameters that can describe the de...

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Abstract

The invention discloses an equipment residual life imperfect maintenance prediction method based on indirect monitoring data, and the method comprises the following steps: analyzing the physical structure of equipment, and recognizing a key parameter which can describe the degradation process of the equipment; collecting key parameter degradation data obtained by monitoring; estimating parametersof the degradation model by using the collected data; establishing an equipment residual life imperfect maintenance prediction model based on indirect monitoring data according to the estimated parameter values; and predicting the residual life of the equipment by utilizing the collected degradation data according to the established prediction model. Compared with a traditional method, the economic cost of the test is reduced, the research period is shortened, and the influence of the environment on the equipment can be reflected in a richer and more dynamic manner, so that the accuracy of predicting the residual life of the equipment under the condition of considering imperfect maintenance practice is improved.

Description

technical field [0001] The invention relates to a high-reliability and long-life equipment remaining life prediction technology, in particular to a method for predicting imperfect maintenance of the remaining life of equipment based on indirect monitoring data. Background technique [0002] With the rapid development of my country's science and technology level and the rapid improvement of the industrial level, there are a large number of high-reliability and long-life equipment in some fields that require high reliability and safety. However, this kind of equipment has the characteristics of high production cost, small production quantity and complex failure mechanism. How to predict its remaining useful life (Remaining Useful Life, RUL) has become a hot issue in the field of reliability. Traditional reliability analysis methods take the failure time of equipment as the research object, which will not only bring high economic costs, but also cause unnecessary waste of time....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F30/17G06F119/04
Inventor 师瑞峰苏豪史丽丽赵引川张杰
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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