Normalized Relative RBC-Based Minimum Risk Bayesian Decision Approach for Fault Diagnosis of Industrial Process
Normalized Relative RBC-Based Minimum Risk Bayesian Decision Approach for Fault Diagnosis of Industrial Process
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基于标准化相对红细胞的工业过程故障诊断最小风险贝叶斯决策方法
DOI：
10.1109/tie.2016.2591902
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发表时间：
2016-07
影响因子：
7.7
通讯作者：
Wang Yan-Wei
中科院分区：
文献类型：
--
作者：
Zheng Ying;Mao Simin;Liu Shujie;Wong David Shan-Hill;Wang Yan-Wei
在工业过程中，在当前确定故障变量时，考虑以前的故障诊断结果是有帮助的。本文提出了一种基于归一化相对重构贡献（RBC）和最小风险贝叶斯（MRB）决策理论的无监督数据驱动的故障诊断方法。采用归一化相对RBC来表示样本观测的特征，采用β分布来近似变量故障或正常的概率密度分布。在可调损失函数的基础上，得到条件风险。提出基于MRB决策的故障诊断方法，减少涂抹效应的影响，提高诊断率，处理小量级故障，识别多过程故障。给出数值模拟算例和Tennessee Eastman过程，说明了该方法的有效性和优越性。
In the industrial process, it is helpful to take the previous fault diagnosis results into consideration during the current determination of faulty variables. In this paper, an unsupervised data-driven fault diagnosis method based on normalized relative reconstruction-based contribution (RBC) and the minimum risk Bayesian (MRB) decision theory is presented. Normalized relative RBC is used to represent the characteristic of the observation of the samples, and beta distribution is adopted to approximate the probability density distribution of the variable being faulty or normal. On the basis of the adjustable loss function, the conditional risk is obtained. The fault diagnosis method based on MRB decision is proposed, which will reduce the influence of smearing effect, improve the diagnosis rate, handle faults with a small magnitude, and identify multiple process faults. Numerical simulation examples and the Tennessee Eastman process are given to show the effectiveness and superiority of the proposed method.
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影响因子：
7.7
作者：
Shen Yin;Xiangping Zhu;O. Kaynak
通讯作者：
Shen Yin;Xiangping Zhu;O. Kaynak
影响因子：
4.2
作者：
Te-Hui Kuang;Zhengbing Yan;Yuan Yao
通讯作者：
Te-Hui Kuang;Zhengbing Yan;Yuan Yao
DOI：
10.1016/j.ress.2012.02.003
发表时间：
2012-06
期刊：
Reliab. Eng. Syst. Saf.
影响因子：
--
作者：
Neetu Singla;Kanchan Jain;Suresh Sharma
通讯作者：
Neetu Singla;Kanchan Jain;Suresh Sharma
影响因子：
4.2
作者：
Yue, HH;Qin, SJ
通讯作者：
Qin, SJ
DOI：
10.1016/s0169-7439(00)00062-9
发表时间：
2000-05-08
影响因子：
3.9
作者：
Westerhuis, JA;Gurden, SP;Smilde, AK
通讯作者：
Smilde, AK