A Multidimensional Parameter Estimation Method for Unbalanced Data Based on Sample Expansion
A technique for unbalanced data and parameter estimation, which is used in special data processing applications, calculations, computer-aided design, etc., and can solve problems such as severe stress coupling, complex failure mechanisms, and numerous failure modes.
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[0115] The effectiveness of the above method is verified by the accelerated life test example below.
[0116] (1) Accelerated life test sample
[0117] The first group of test samples is accelerated life test samples, and there are 2 pumps for accelerated life test:
[0118] Pump 1 is a new pump, according to the accelerated life test load spectrum shown in Table 1, it fails in 187.1 hours.
[0119] Table 1 Pump 1 accelerated life test load spectrum
[0120]
[0121] Pump 2 is a new pump, according to the accelerated life test load spectrum shown in Table 2, it will fail after 188.6 hours of acceleration.
[0122] Table 2 Pump 2 accelerated life test load spectrum
[0123]
[0124] (2) Reuse samples
[0125] In order to improve the accuracy of parameter estimation, three non-life test samples are introduced as multiplex samples:
[0126] Pump 3 runs for 425 hours according to the long-term test load spectrum shown in Table 3, and then accelerates to fail for 357.3 h...
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