Fuzzy Multivariable Gaussian Evolving Approach for Fault Detection and Diagnosis

机译：故障检测与诊断的模糊多变量高斯演化方法

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This paper suggests an approach for fault detection and diagnosis capable to detect new operation modes online. The approach relies upon an evolving fuzzy classifier able to incorporate new operational information using an incremental unsupervised clustering procedure. The efficiency of the approach is verified in fault detection and diagnosis of an induction machine. Experimental results suggest that the approach is a promising alternative for fault diagnosis of dynamic systems when there is no a priori information about all failure modes. It is also attractive for incremental learning of diagnosis systems with streams of data.

机译：本文提出了一种能够在线检测新的操作模式的故障检测和诊断方法。该方法依赖于不断发展的模糊分类器，该分类器能够使用增量无监督聚类过程合并新的操作信息。该方法的效率在感应电机的故障检测和诊断中得到了验证。实验结果表明，当没有关于所有故障模式的先验信息时，该方法是动态系统故障诊断的有前途的替代方法。它对于具有数据流的诊断系统的增量学习也很有吸引力。

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来源
《Computational intelligence for knowledge-based systems design》|2010年|p.360-369|共10页
会议地点 Dortmund(DE);Dortmund(DE)
作者
Andre Lemos; Walmir Caminhas; Fernando Gomide;
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作者单位

Department of Electrical Engineering, Federal University of Minas Gerais, MG, Brazil;

Department of Electrical Engineering, Federal University of Minas Gerais, MG, Brazil;

School of Electrical and Computer Engineering, University of Campinas, SP, Brazil;

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会议组织
原文格式 PDF
正文语种 eng
中图分类信息处理（信息加工）;
关键词
evolving fuzzy systems; participatory learning; adaptive fault detection and diagnosis;

机译：不断发展的模糊系统；参与式学习；自适应故障检测与诊断;

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专利

1. An approach to fault diagnosis with online detection of novel faults using fuzzy clustering tools [J] . Rodriguez-Ramos Adrian, da Silva Neto Antonio Jose, Llanes-Santiago Orestes Expert Systems with Application . 2018,第DECa期

机译：利用模糊聚类工具在线检测新故障的故障诊断方法
2. Fault Diagnosis with Evolving Fuzzy Classifier Based on Clustering Algorithm and Drift Detection [J] . Inacio Maurilio, Lemos Andre, Caminhas Walmir Mathematical Problems in Engineering . 2015,第pta1期

机译：基于聚类算法和漂移检测的进化模糊分类器故障诊断
3. Fault Diagnosis with Evolving Fuzzy Classifier Based on Clustering Algorithm and Drift Detection [J] . MaurilioInacio, AndreLemos, WalmirCaminhas Mathematical Problems in Engineering: Theory, Methods and Applications . 2015,第2期

机译：基于聚类算法和漂移检测的进化模糊分类器故障诊断
4. Fuzzy Multivariate Gaussian Evolving Approach for Fault Detection and Diagnosis [C] . Andre Lemos, Walmir Caminhas, Fernando Gomide International Conference on Information Processing and Management of Uncertainty . 2010

机译：故障检测与诊断的模糊多元高斯不断发展方法
5. Fault detection and diagnosis in machining processes and rotating machinery using fuzzy approach and hidden Markov model [D] . Boutros, Tony 2006

机译：基于模糊方法和隐马尔可夫模型的机械加工和旋转机械故障检测与诊断
6. Photovoltaic Array Fault Diagnosis Based on Gaussian Kernel Fuzzy C-Means Clustering Algorithm [O] . Shengyang Liu, Lei Dong, Xiaozhong Liao, 2019

机译：基于高斯核模糊C均值聚类算法的光伏阵列故障诊断
7. Current Based Fault Detection and Diagnosis of Induction Motors. Adaptive Mixed-Residual Approach for Fault Detection and Diagnosis of Rotor, Stator, Bearing and Air-Gap Faults in Induction Motors Using a Fuzzy Logic Classifier with Voltage and Current Measurement only. [O] . Bradley William John 2013

机译：基于电流的感应电动机故障检测和诊断。仅使用电压和电流测量的模糊逻辑分类器的自适应混合残差方法对异步电动机的转子，定子，轴承和气隙故障进行故障检测和诊断。

Fuzzy Multivariable Gaussian Evolving Approach for Fault Detection and Diagnosis

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