多源数据是一种综合多个信息源的复杂数据类型,其主要特点是不同的信息源从不同的角度刻画了样本以及样本之间的关系(具体到配电网领域,不同量测系统针对同一节点所得到的数据是不同的,甚至存在较大差异)。提出了一种适用于配电网线损...多源数据是一种综合多个信息源的复杂数据类型,其主要特点是不同的信息源从不同的角度刻画了样本以及样本之间的关系(具体到配电网领域,不同量测系统针对同一节点所得到的数据是不同的,甚至存在较大差异)。提出了一种适用于配电网线损计算的多源数据综合利用方法,为便于数据融合,对多源量测数据进行转换;为保证量测时间断面一致性,选择同步相量测量单元(phasor measurement unit,PMU)某一量测时刻作为基准,对数据采集与监视控制(supervisory control and data acquistion,SCADA)系统数据进行时间配准与数据填充操作,对智能电表数据采用“量测值+预测值”方式进行时标对齐;对时序数据进行滤波,获得较为准确的配电网数据;基于登普斯特-沙夫特(dempster-shafter,D-S)证据理论法实现多源数据融合。以某10 kV配电网为算例分析计算了配电网线损,结果表明,所提方法可较好地完成多源数据的综合利用,提高配电网线损计算的准确性。展开更多
Multi-source information fusion （MSIF） is imported into structural damage diagnosis methods to improve the validity of damage detection. After the introduction of the basic theory, the function model, classification...Multi-source information fusion （MSIF） is imported into structural damage diagnosis methods to improve the validity of damage detection. After the introduction of the basic theory, the function model, classifications and mathematical methods of MSIF, a structural damage detection method based on MSIF is presented, which is to fuse two or more damage character vectors from different structural damage diagnosis methods on the character-level. In an experiment of concrete plates, modal information is measured and analyzed. The structural damage detection method based on MSIF is taken to localize cracks of concrete plates and it is proved to be effective. Results of damage detection by the method based on MSIF are compared with those from the modal strain energy method and the flexibility method. Damage, which can hardly be detected by using the single damage identification method, can be diagnosed by the damage detection method based on the character-level MSIF technique. Meanwhile multi-location damage can be identified by the method based on MSIF. This method is sensitive to structural damage and different mathematical methods for MSIF have different preconditions and applicabilities for diversified structures. How to choose mathematical methods for MSIF should be discussed in detail in health monitoring systems of actual structures.展开更多
文摘多源数据是一种综合多个信息源的复杂数据类型,其主要特点是不同的信息源从不同的角度刻画了样本以及样本之间的关系(具体到配电网领域,不同量测系统针对同一节点所得到的数据是不同的,甚至存在较大差异)。提出了一种适用于配电网线损计算的多源数据综合利用方法,为便于数据融合,对多源量测数据进行转换;为保证量测时间断面一致性,选择同步相量测量单元(phasor measurement unit,PMU)某一量测时刻作为基准,对数据采集与监视控制(supervisory control and data acquistion,SCADA)系统数据进行时间配准与数据填充操作,对智能电表数据采用“量测值+预测值”方式进行时标对齐;对时序数据进行滤波,获得较为准确的配电网数据;基于登普斯特-沙夫特(dempster-shafter,D-S)证据理论法实现多源数据融合。以某10 kV配电网为算例分析计算了配电网线损,结果表明,所提方法可较好地完成多源数据的综合利用,提高配电网线损计算的准确性。
基金The National High Technology Research and Develop-ment Program of China(863Program)(No.2006AA04Z416)the Na-tional Science Fund for Distinguished Young Scholars(No.50725828)the Excellent Dissertation Program for Doctoral Degree of Southeast University(No.0705)
文摘Multi-source information fusion （MSIF） is imported into structural damage diagnosis methods to improve the validity of damage detection. After the introduction of the basic theory, the function model, classifications and mathematical methods of MSIF, a structural damage detection method based on MSIF is presented, which is to fuse two or more damage character vectors from different structural damage diagnosis methods on the character-level. In an experiment of concrete plates, modal information is measured and analyzed. The structural damage detection method based on MSIF is taken to localize cracks of concrete plates and it is proved to be effective. Results of damage detection by the method based on MSIF are compared with those from the modal strain energy method and the flexibility method. Damage, which can hardly be detected by using the single damage identification method, can be diagnosed by the damage detection method based on the character-level MSIF technique. Meanwhile multi-location damage can be identified by the method based on MSIF. This method is sensitive to structural damage and different mathematical methods for MSIF have different preconditions and applicabilities for diversified structures. How to choose mathematical methods for MSIF should be discussed in detail in health monitoring systems of actual structures.
