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    • 1. 发明申请
    • METHODS AND SYSTEMS FOR ENERGY PROGNOSIS
    • 能源预报的方法和系统
    • US20110066391A1
    • 2011-03-17
    • US12879439
    • 2010-09-10
    • Mohamed AbuAliJay LeeWenyu Zhao
    • Mohamed AbuAliJay LeeWenyu Zhao
    • G01R21/00G06F19/00G06F15/18
    • G06Q10/06Y02P80/10Y02P90/86
    • In one embodiment, a method for managing an industrial process wherein a processor transforms electronic data into an energy prognosis is provided. An energy related test signal including effective power test data indicative of electrical energy consumed by an energy consuming machine may be received. The energy related test signal may be partitioned into an energy related test sub-signal. Mathematical functions may be applied to the energy related test sub-signal to extract a feature set of data from the energy related test sub-signal. The feature set of data may be transformed with a transformation matrix into a reduced test feature set. The reduced test feature set may be input into a performance assessment algorithm based at least in part upon a reduced training feature set derived from data indicative of electrical energy consumed during healthy operation. A power-based performance index may be generated with the performance assessment algorithm.
    • 在一个实施例中,提供了一种用于管理工业过程的方法,其中处理器将电子数据转换为能量预测。 可以接收包括表示能量消耗机消耗的电能的有效功率测试数据的能量相关测试信号。 能量相关测试信号可以被划分为与能量相关的测试子信号。 数学函数可以应用于与能量相关的测试子信号,以从能量相关测试子信号中提取特征数据集。 数据的特征集可以用变换矩阵转换成简化的测试特征集合。 减少的测试特征集可以至少部分地基于从指示健康操作期间消耗的电能的数据导出的减少的训练特征集输入到性能评估算法中。 可以使用性能评估算法生成基于能量的性能指标。
    • 2. 发明授权
    • Methods and systems for energy prognosis
    • 能量预后的方法和系统
    • US08527223B2
    • 2013-09-03
    • US12879439
    • 2010-09-10
    • Mohamed AbuAliJay LeeWenyu Zhao
    • Mohamed AbuAliJay LeeWenyu Zhao
    • G01R17/02G01R21/00G01R17/00G01R17/06
    • G06Q10/06Y02P80/10Y02P90/86
    • In one embodiment, a method for managing an industrial process wherein a processor transforms electronic data into an energy prognosis is provided. An energy related test signal including effective power test data indicative of electrical energy consumed by an energy consuming machine may be received. The energy related test signal may be partitioned into an energy related test sub-signal. Mathematical functions may be applied to the energy related test sub-signal to extract a feature set of data from the energy related test sub-signal. The feature set of data may be transformed with a transformation matrix into a reduced test feature set. The reduced test feature set may be input into a performance assessment algorithm based at least in part upon a reduced training feature set derived from data indicative of electrical energy consumed during healthy operation. A power-based performance index may be generated with the performance assessment algorithm.
    • 在一个实施例中,提供了一种用于管理工业过程的方法,其中处理器将电子数据转换为能量预测。 可以接收包括表示能量消耗机消耗的电能的有效功率测试数据的能量相关测试信号。 能量相关测试信号可以被划分为与能量相关的测试子信号。 数学函数可以应用于与能量相关的测试子信号,以从能量相关测试子信号中提取特征数据集。 数据的特征集可以用变换矩阵转换成简化的测试特征集合。 减少的测试特征集可以至少部分地基于从指示健康操作期间消耗的电能的数据导出的减少的训练特征集输入到性能评估算法中。 可以使用性能评估算法生成基于能量的性能指标。