Research Article
An Improved Bayesian Structural Identification Using the First Two Derivatives of Log-Likelihood Measure
Table 2
Identified results of structural parameters.
| | | | Full outputs | Partial outputs | | No noise | 30% noise | 100% noise | No noise | 30% noise | 100% noise |
| | Error | 0.000 | 0.224 | 0.561 | 0.000 | 0.241 | 0.932 | | Cov. | 0.000 | 0.484 | 1.657 | 0.000 | 1.244 | 3.339 |
| | Error | 0.000 | 0.239 | 0.487 | 0.000 | 0.395 | 0.498 | | Cov. | 0.000 | 0.358 | 1.137 | 0.000 | 1.852 | 3.039 |
| | Error | 0.000 | 0.383 | 0.603 | 0.000 | 0.516 | 0.705 | | Cov. | 0.000 | 0.628 | 2.234 | 0.000 | 1.402 | 3.394 |
| | Error | 0.000 | 0.353 | 0.472 | 0.000 | 0.447 | 0.819 | | Cov. | 0.000 | 0.417 | 1.322 | 0.000 | 0.921 | 2.898 |
| | Error | 0.000 | 0.473 | 0.681 | 0.000 | 0.486 | 0.691 | | Cov. | 0.000 | 0.443 | 1.475 | 0.000 | 1.893 | 2.323 |
| | Error | 0.000 | 0.398 | 0.581 | 0.000 | 0.695 | 1.044 | | Cov. | 0.000 | 0.319 | 2.322 | 0.000 | 2.145 | 3.549 |
| | Error | 0.000 | 0.494 | 0.726 | 0.000 | 0.701 | 0.993 | | Cov. | 0.000 | 0.897 | 2.397 | 0.000 | 2.423 | 4.197 |
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The “Error” is in %; and the “Cov.” (the ratio of standard deviation to the mean) is in %.
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