Research on Equipment Effectiveness Evaluation Simulation Model Based on Parametric Identification Algorithm

With the development of science and technology, the technical mechanism and structure of weapons and equipment are becoming more and more complex. How to build the corresponding equipment model through the existing technology and evaluate the equivalent model in the operation process of weapons and equipment has become an urgent problem to be solved. This paper aims at the load state assessment of weapons and equipment in tasks such as power maintenance and daily testing. The simulation model of weapon equipment operating load model based on parameter identification algorithm was studied, and the characteristics, effectiveness and accuracy of different parameter identification methods were analyzed and evaluated through similarity analysis method, and the model construction and parameter identification methods suitable for different application environments were obtained.

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/icsece61636.2024.10729484
Primary Topic
Engineering Diagnostics and Reliability
Type
article
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Research on Equipment Effectiveness Evaluation Simulation Model Based on Parametric Identification Algorithm

Xinze Li
Engineering Diagnostics and Reliability
article

Research on Equipment Effectiveness Evaluation Simulation Model Based on Parametric Identification Algorithm

Xinze Li
article en

Abstract

With the development of science and technology, the technical mechanism and structure of weapons and equipment are becoming more and more complex. How to build the corresponding equipment model through the existing technology and evaluate the equivalent model in the operation process of weapons and equipment has become an urgent problem to be solved. This paper aims at the load state assessment of weapons and equipment in tasks such as power maintenance and daily testing. The simulation model of weapon equipment operating load model based on parameter identification algorithm was studied, and the characteristics, effectiveness and accuracy of different parameter identification methods were analyzed and evaluated through similarity analysis method, and the model construction and parameter identification methods suitable for different application environments were obtained.

Openalex Percentile: Top 79%
Engineering Diagnostics and Reliability
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