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SYSTEM FOR DETECTING ABNORMAL BEHAVIOR AND EVALUATING SAFETY OF STRUCTURE FOR MERGING NON-PERIODIC SMALL-SCALE DATA, AND METHOD THEREOF
SYSTEM FOR DETECTING ABNORMAL BEHAVIOR AND EVALUATING SAFETY OF STRUCTURE FOR MERGING NON-PERIODIC SMALL-SCALE DATA, AND METHOD THEREOF
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机译：非周期性小规模数据融合的异常行为检测和结构安全性评估系统及其方法
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摘要
Provided are a system for detecting an abnormal behavior and evaluating the safety of a structure merging non-periodic small-scale data, and a method thereof. The system according to the present invention can minimize generable noise by merging the data to give continuity to the non-periodic data, can simply perform safety evaluation and abnormal behavior detection of the structure by generating a data set matched with the minimum condition using the non-periodic small-scale data, and can implement hardware with lost costs by merging the non-periodic small-scale data, thereby reducing operating costs for the safety evaluation and abnormal behavior detection of the structure. The system according to the present invention includes a non-periodic small-scale data collection unit which cumulatively collects the non-periodic small-scale data of the structure, a non-periodic small-scale data merging unit which inputs the non-periodic small-scale data by merging and aligning the non-periodic small-scale data, an input data feature extracting unit which extracts the feature of the input data, a unit for detecting the abnormal behavior of the structure and damage to the structure, a damage index comparing unit which checks a sensor node in which the abnormal behavior is generated, a damage index pattern analyzing unit which analyzes a damage index pattern, and a damage area estimating unit which estimates the damage area of the structure.;COPYRIGHT KIPO 2017
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