Cable life evaluation method based on polynomial fitting and grey prediction
A technology of polynomial fitting and gray prediction, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of reduced work efficiency, long test cycle, and increased detection cost, and achieve a large workload and short test cycle. shortened effect
Pending Publication Date: 2021-04-30
SHANGHAI DIANJI UNIV
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Problems solved by technology
In the current methods of detecting the insulation state of cables, most of them are off-line and destructive test analysis methods, which will have a non-negligible impact on the normal operation of the cable and the subsequent working life, and the long test period will lead to a reduction in work efficiency and Increase in testing costs
The traditional method of evaluating the insulation state of cables can no longer meet the current detection needs, and it is necessary to propose a new detection method that can ensure the accuracy of the detection results and is easy to operate
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[0019] Attached below Figure 1-6 The present invention is further illustrated with specific examples.
[0020] This embodiment proposes a cable life evaluation method based on polynomial fitting and gray prediction. The whole process is measured by aging time and elongation at break retention rate under high temperature test conditions. Based on this data, the control variable is used. The method combines multiple fitting and gray prediction algorithm to analyze and process the data, so as to evaluate the remaining life of the cable.
[0021] Such as figure 2 Shown is the main steps of this embodiment, including the following steps:
[0022] S1. Collect cable parameter information and perform data preprocessing;
[0023] S2, the collected data is under the condition of constant aging temperature, and the relationship between the life and the retention rate of tensile elongation is studied;
[0024] S3. Under the condition that the retention rate of tensile elongation is ...
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The invention discloses a cable life evaluation method based on polynomial fitting and grey prediction. The cable life evaluation method comprises the following steps: S1, collecting cable parameter information and carrying out data preprocessing; S2, studying the relationship between the service life and the tensile elongation retention rate of the acquired data under the condition that the aging temperature is not changed; S3, under the condition that the tensile elongation retention rate is not changed, studying the relationship between the service life and the aging temperature based on a grey prediction method; S4, studying the relationship between the tensile elongation and the aging life by adopting a polynomial fitting method at different aging temperatures; and S5, under the condition that the elongation and the temperature are measured on site, substituting the data into the step S2 and the step S4, and subtracting the data from the data to obtain the residual life of the cable. The powerful data processing function of matlab software is utilized, data processing can be achieved through programming, the calculation result is accurate and considerable, and meanwhile the method is simple in calculation and high in flexibility and operability.
Description
technical field [0001] The invention relates to the technical field of cables, in particular to a cable life evaluation method based on polynomial fitting and gray prediction. Background technique [0002] According to the existing relevant literature, the main reason for the aging of low-voltage rubber insulated cables is thermal aging, that is, the process in which insulating materials slowly lose their working properties under aerobic and heat conditions. For the evaluation of the thermal aging performance of rubber materials, the internationally recognized methods are accelerated thermal aging test and thermal life assessment test, collectively referred to as accelerated life test. The accelerated life test is a single factor temperature test, and the basic idea is to use the life characteristics under high stress to extrapolate the life characteristics under normal stress levels. The key is to establish the mathematical relationship between life characteristics and str...
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Login to View More IPC IPC(8): G06F30/20G06F113/16G06F119/04G06F119/08
CPCG06F30/20G06F2113/16G06F2119/04G06F2119/08
Inventor 孙全孙渊
Owner SHANGHAI DIANJI UNIV