Equipment residual service life prediction method under the condition of uncertain degradation measured data

A technology for measuring data and life prediction, which can be used in electrical digital data processing, special data processing applications, instruments, etc., and can solve problems such as predicting the remaining life of uncertain equipment.

Active Publication Date: 2014-01-01
PLA SECOND ARTILLERY ENGINEERING UNIVERSITY
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Problems solved by technology

[0004] In view of the above-mentioned existing technical conditions, the purpose of the present invention is to provide a method of making full use of the measurement data obtained during the performance degradation process of t

Method used

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  • Equipment residual service life prediction method under the condition of uncertain degradation measured data
  • Equipment residual service life prediction method under the condition of uncertain degradation measured data
  • Equipment residual service life prediction method under the condition of uncertain degradation measured data

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Embodiment

[0064] Next, a set of gyroscope drift monitoring data is obtained through the test of this embodiment to verify the method proposed by the invention. The data includes the drift coefficient data at 210 different state monitoring time points recorded by the three gyroscopes during actual use. In the experiment, according to the technical index of the gyroscope, the failure threshold is selected as w=0.36(° / hour). According to the power-on time, the monitoring interval is 2.5 hours. In the test, one operated to exceed the failure threshold, corresponding to a life of 528 hours, and the other two still met the requirements of the technical indicators after completing the test. The measurement data corresponding to the whole life cycle of gyro drift monitoring are as follows: figure 1 shown. In this embodiment, the method for predicting the remaining life of equipment under uncertain degradation measurement data includes the following steps:

[0065] Step 1: Establish an equip...

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Abstract

The invention belongs to the technical field of reliability engineering, and relates to an equipment residual service life prediction method under the condition of uncertain degradation measured data. The method includes the following steps: creating an equipment performance degradation model under the condition of the uncertain degradation measured data, estimating model parameters, estimating an equipment potential performance degradation state and predicating residual service life. The equipment residual service life prediction method under the condition of the uncertain degradation measured data is provided, degradation state uncertainty and measurement uncertainty are considered, characteristic quantity of individual service life and overall reliability service life of equipment are predicated and analyzed, and the method can serve as an effective analysis tool for predicating the residual service life of the equipment so as to provide powerful theoretical basis and technical support to state-based maintenance of the equipment, so that expenditure is reduced, unnecessary economic loss is avoided, and good engineering application value is realized.

Description

technical field [0001] The invention belongs to the technical field of reliability engineering, and relates to a method for predicting the remaining life of high-reliability equipment under uncertain degradation measurement data. Background technique [0002] The existing remaining life prediction methods are mainly divided into two categories: model-based methods and data-based methods. Model-based methods include methods based on mechanistic models and methods based on statistical models. Among them, due to the complexity and randomness of the system, the method based on the mechanism model is difficult to obtain an accurate mechanism model of the system, which limits the application of this method: the method based on the statistical model comprehensively utilizes the system mechanism knowledge and state monitoring data, and can fully Prediction of remaining life using available information. The data-based method makes full use of the effective test data of the equipmen...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 胡昌华司小胜何华锋周涛张建勋张琪
Owner PLA SECOND ARTILLERY ENGINEERING UNIVERSITY
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