A robust performance evaluation method based on interval evidential reasoning approach under uncertainty

Chen, Leiyu; Zhou, Zhijie; Han, Xuefei; Zhang, Chun-Chao; Ning, Pengyun

doi:10.1016/j.isatra.2023.03.039

Cited by 4 publications

(1 citation statement)

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“…Chen et al obtained the performance evaluation results by distinguishing the interference of single evidence and two evidences, and proposed a robustness measure based on interval similarity, and optimized the reference value in the IER evaluation model. The proposed method was applied to a certain electric servo mechanism for performance evaluation and verification [21].…”

Section: Introductionmentioning

confidence: 99%

Evaluating LIMU System Quality with Interval Evidence and Input Uncertainty

2023

KSII TIIS

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The laser inertial measurement unit is a precision device widely used in rocket navigation system and other equipment, and its quality is directly related to navigation accuracy. In the quality evaluation of laser inertial measurement unit, there is inevitably uncertainty in the index input information. First, the input numerical information is in interval form. Second, the index input grade and the quality evaluation result grade are given according to different national standards. So, it is a key step to transform the interval information input by the index into the data form consistent with the evaluation result grade. In the case of uncertain input, this paper puts forward a method based on probability distribution to solve the problem of asymmetry between the reference grade given by the index and the evaluation result grade when evaluating the quality of laser inertial measurement unit. By mapping the numerical relationship between the designated reference level and the evaluation reference level of the index information under different distributions, the index evidence symmetrical with the evaluation reference level is given. After the uncertain input information is transformed into evidence of interval degree distribution by this method, the information fusion of interval degree distribution evidence is carried out by interval evidential reasoning algorithm, and the evaluation result is obtained by projection covariance matrix adaptive evolution strategy optimization. Taking a five-meter redundant laser inertial measurement unit as an example, the applicability and effectiveness of this method are verified.

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Section: Introductionmentioning

confidence: 99%