Estimating uncertainty when using transient data in steady-state calculations
Estimating uncertainty when using transient data in steady-state calculations
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DOI：
10.1016/j.measurement.2016.07.084
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发表时间：
2016-12-01
期刊：
影响因子：
5.6
通讯作者：
Buswell, R. A.
中科院分区：
文献类型：
--
作者：
Buswell, R. A.
当使用测量数据进行监测时，通常需要进行稳态分析。在线状态监测和故障检测系统是典型的应用，其中处理暂态数据的传统方法是使用需要使用阈值调整的方法来去除它。本文提出了另一种方法，即随着瞬变的存在而增加特定变量中的不确定度估计，并通过传播来改变结果中的不确定度。描述了该方法的公式，并将其应用于建筑暖通空调系统的两个实例。该方法被证明是一种实用的工具，可以用来提高从时间序列数据计算的稳健性。皇冠版权所有(C)2016由爱思唯尔有限公司出版。保留所有权利。
When using measurement data for monitoring there is often a desire for steady-state analysis. On-line condition monitoring and fault detection systems are typical applications where the traditional way of treating transient data is to remove it using methods that require tuning using thresholds. This paper suggests an alternative approach where the uncertainty estimate in a particular variable is increased in response to the presence of transients and through propagation, varies the uncertainty in the result accordingly. The formulation of the approach is described and applied to two examples from building HVAC systems. The approach is demonstrated to be a pragmatic tool that can be used to increase the robustness of calculations from time series data. Crown Copyright (C) 2016 Published by Elsevier Ltd. All rights reserved.