ARTIFICIAL INTELLIGENCE METHODS IN DIAGNOSTICS OF ANALOG SYSTEMS

Piotr BILSKI; Jacek WOJCIECHOWSKI

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ARTIFICIAL INTELLIGENCE METHODS IN DIAGNOSTICS OF ANALOG SYSTEMS

机译：模拟系统诊断中的人工智能方法

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The paper presents the state of the art and advancement of artificial intelligence methods in analog systems diagnostics. Firstly, the diagnostic domain is introduced and its problems explained. Then, computational intelligence approaches usable for fault detection and identification are reviewed. Particular groups of methods are presented in detail, explaining their usefulness and drawbacks. Examples, such as the induction motor or the electronic filter, are provided to show the applicability of the presented approaches for monitoring the state of analog objects from engineering domains. The discussion section reviews the presented approaches, their future prospects and problems to be solved.

机译：本文介绍了模拟系统诊断中的人工智能技术的发展现状和进展。首先，介绍了诊断领域并解释了其问题。然后，回顾了可用于故障检测和识别的计算智能方法。详细介绍了特定的方法组，解释了它们的有用性和缺点。提供示例，例如感应电动机或电子滤波器，以显示所提出的方法从工程领域监视模拟对象状态的适用性。讨论部分回顾了提出的方法，它们的未来前景和需要解决的问题。

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来源
《International Journal of Applied Mathematics and Computer Science》 |2014年第2期|271-282|共12页
作者
Piotr BILSKI; Jacek WOJCIECHOWSKI;
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作者单位

Institute of Radioelectronics Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland,Department of Applied Informatics Warsaw University of Life Sciences, ul. Nowoursynowska 159, 02-776 Warsaw, Poland;

Institute of Radioelectronics Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland;

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正文语种 eng
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关键词
fault detection; artificial intelligence; analog systems;

机译：故障检测;人工智能;模拟系统;

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1. Artificial intelligence methods in diagnostics of analog systems [J] . piotr_bilski@sggw.pl Piotr Bilski, Jacek Wojciechowski International journal of applied mathematics and computer science . 2014,第2期

机译：模拟系统诊断中的人工智能方法
2. Modern Methods Control and Diagnostics of Hoisting-Machines with Application of Artificial Intelligence Methods [J] . Andrzej Oleksy, Zygmunt Szymański Archives of mining sciences . 2010,第1期

机译：人工智能方法在起重机械现代控制与诊断中的应用
3. Development of a diagnostic expert system for eddy current data analysis using applied artificial intelligence methods [J] . B.R. Upadhyaya, W. Yan, M.M. Behravesh Nuclear Engineering and Design . 1999,第3期

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4. The artificial intelligence methods testing in case of engineering diagnostics system creation of the synchronous machines [C] . V Polishchuk, K Baratova International Scientific Conference on Engineering, Technologies and Systems . 2019

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5. An investigation into control, optimization, and diagnostics of dilute-phase pneumatic conveying systems using artificial intelligence tools. [D] . Venkatasubramanian, Srikanth. 1999

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6. Radiology artificial intelligence a systematic evaluation of methods (RAISE): a systematic review protocol [O] . Brendan Kelly, Conor Judge, Stephanie M. Bollard, 2020

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7. ARTIFICIAL INTELLIGENCE METHODS IN DIAGNOSTICS OF ANALOG SYSTEMS [O] . Piotr Bilski, Jacek Wojciechowski 2016

机译：人工智能方法在模拟系统诊断中的应用
8. Artificial Intelligence Approach to Analog System Diagnosis. [R] . Pipitone, F. J., Dejong, K. A., Spears, W. M. 1989

机译：模拟系统诊断的人工智能方法。

ARTIFICIAL INTELLIGENCE METHODS IN DIAGNOSTICS OF ANALOG SYSTEMS

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