An abductive fuzzy knowledge based system for fault diagnosis in a power system

机译：基于纠缠模糊知识的电力系统故障诊断系统

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This paper presents the design and evaluation of a novel, AI (Artificial Intelligence) based alarm processing and fault diagnosis system, for a 132kv/12 bus-161ine sample power system. The work has been conducted in conjunction with Scottish Hydro Electric PLC. The fault diagnosis system is based on a hybrid object-oriented AI technique. The method developed utilises abductive inference. This technique is demonstrated to realise some improvements when compared with fuzzy logic and takes into account the current practical limitations in the design. The method is based on processing SCADA (Supervisory Control and Data Acquisition) messages, extending the arrangement of the knowledge acquisition process and applicability of circuit breakers and relays. The potential benefits and implications of adopting such an abductive fuzzy knowledge based system are demonstrated in this research, and include a user friendly inference engine, adaptability, and KBS update.

机译：本文介绍了一种新颖的基于AI（人工智能）的警报处理和故障诊断系统的设计和评估，该系统用于132kv / 12总线-161ine样本电源系统。这项工作是与苏格兰水电公司（Scottish Hydro Electric PLC）一起进行的。故障诊断系统基于混合的面向对象AI技术。开发的方法利用了归纳推理。与模糊逻辑相比，该技术被证明可以实现一些改进，并考虑了设计中当前的实际局限性。该方法基于处理SCADA（监督控制和数据采集）消息，扩展了知识采集过程的安排以及断路器和继电器的适用性。这项研究证明了采用这种基于模糊知识的系统的潜在好处和含义，包括用户友好的推理引擎，适应性和KBS更新。

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《2000 International Conference on Power System Technology》|2000年|p.345-350|共6页
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Min Y Park; Martin Lefley; Bruce Ramsay; Ian Moyes;
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中图分类能源与动力工程;
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1. Abductive reasoning network based diagnosis system for faultsection estimation in power systems [J] . Yann-Chang Huang IEEE Transactions on Power Delivery . 2002,第2期

机译：基于归纳推理网络的电力系统故障估计诊断系统
2. A Fault Diagnosis Method of Power Systems Based on an Improved Adaptive Fuzzy Spiking Neural P Systems and PSO Algorithms [J] . Jun Wang, Hong Peng, Min Tu, Chinese Journal of Electronics . 2016,第2期

机译：基于改进的自适应模糊尖峰神经P系统和PSO算法的电力系统故障诊断方法
3. A Fault Diagnosis Method of Power Systems Based on an Improved Adaptive Fuzzy Spiking Neural P Systems and PSO Algorithms [J] . WANG Jun, PENG Hong, TU Min, 电子学报（英文版） . 2016,第002期

机译：基于改进的自适应模糊尖峰神经P系统和PSO算法的电力系统故障诊断方法
4. An abductive fuzzy knowledge based system for fault diagnosis in a power system [C] . Park, M.Y., Lefley, . 2000

机译：基于纠缠模糊知识的电力系统故障诊断系统
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机译：红色：一种分类辅助性专家系统（基于知识的系统，工程，抗体识别，医学诊断，自动解决问题）。
6. Towards Simultaneous Actuator and Sensor Faults Estimation for a Class of Takagi-Sugeno Fuzzy Systems: A Twin-Rotor System Application [O] . Marcin Pazera, Marcin Witczak, Norbert Kukurowski, 2020

机译：一类Takagi-Sugeno模糊系统的同时执行器和传感器故障估计：双转子系统应用
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机译：基于知识的故障诊断方法。基于知识的系统的开发，实施，评估和比较，结合了深浅的知识，可帮助诊断复杂的水力机械设备中的故障。
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机译：基于故障监测和诊断知识的空间电力系统系统：ampEREs，第1阶段

An abductive fuzzy knowledge based system for fault diagnosis in a power system

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