Novel methodology for broken-rotor-bar and bearing faults detection through SVD and information entropy

M Hernandez-Vargas; E Cabal-Yepez; A Garcia-Perez; R J Romero-Troncoso

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Novel methodology for broken-rotor-bar and bearing faults detection through SVD and information entropy

机译：通过SVD和信息熵检测转子断条和轴承故障的新方法

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This study introduces a novel methodology for early detection of broken-rotor-bars and bearing faults on induction motors by using singular value decomposition and information entropy estimation to detect motor operational condition. Proposed technique could detect these faults with a certainty greater than 99.7%. A field programmable gate array implementation is developed for online application of proposed approach in real-time.

机译：这项研究引入了一种新颖的方法，该方法可以通过使用奇异值分解和信息熵估计来检测电动机的运行状况，从而对感应电动机的转子损坏和轴承故障进行早期检测。提出的技术可以确定这些故障的概率大于99.7％。开发了一种现场可编程门阵列实施方案，用于实时在线在线应用所提出的方法。

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来源
《Journal of Scientific & Industrial Research》 |2012年第9期|p.589-593|共5页
作者
M Hernandez-Vargas; E Cabal-Yepez; A Garcia-Perez; R J Romero-Troncoso;
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作者单位

HSPdigital Research Group, C A Telematica/Procesamiento Digital de Senales, Division de Ingenierias, Campus Irapuato-Salamanca, Universidad de Guanajuato, Carretera Salamanca - Valle de Santiago km 6.5 + 1.8 km, Comunidad de Palo Blanco, 36700 - Salamanca, Guanajuato, Mexico;

HSPdigital Research Group, C A Telematica/Procesamiento Digital de Senales, Division de Ingenierias, Campus Irapuato-Salamanca, Universidad de Guanajuato, Carretera Salamanca - Valle de Santiago km 6.5 + 1.8 km, Comunidad de Palo Blanco, 36700 - Salamanca, Guanajuato, Mexico;

HSPdigital Research Group, C A Telematica/Procesamiento Digital de Senales, Division de Ingenierias, Campus Irapuato-Salamanca, Universidad de Guanajuato, Carretera Salamanca - Valle de Santiago km 6.5 + 1.8 km, Comunidad de Palo Blanco, 36700 - Salamanca, Guanajuato, Mexico;

HSPdigital Research Group, C A Telematica/Procesamiento Digital de Senales, Division de Ingenierias, Campus Irapuato-Salamanca, Universidad de Guanajuato, Carretera Salamanca - Valle de Santiago km 6.5 + 1.8 km, Comunidad de Palo Blanco, 36700 - Salamanca, Guanajuato, Mexico;

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收录信息美国《科学引文索引》(SCI);
原文格式 PDF
正文语种 eng
中图分类
关键词
broken-rotor-bars (BRB); faulty bearings (FBR); field programmable gate arrays (FPGA); induction motor; information entropy; singular value decomposition (SVD);

机译：转子破损（BRB）;轴承故障（FBR）;现场可编程门阵列（FPGA）;感应电动机信息熵奇异值分解（SVD）;

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2. Bearing fault detection and recognition methodology based on weighted multiscale entropy approach [J] . Amrinder Singh Minhas, P.K. Kankar, Navin Kumar, Mechanical systems and signal processing . 2021,第Jana期

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3. Detection of Bearing Faults in Induction Motor by a Combined Approach SVD-Kalman Filter [J] . Khaled Azouzi, Ahmed Hamida Boudinar, Azeddine Bendiabdellah International review of automatic control . 2018,第1期

机译：通过组合方法SVD-Kalman滤波器检测感应电动机的轴承故障
4. Off-the-Grid Compressive Sensing for Broken-Rotor-Bar Fault Detection in Squirrel-Cage Induction Motors [C] . Dehong Liu, Dingguo Lu IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes . 2016

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5. Improved methods of vibration measurement, gear fault detection and bearing fault detection for gearbox diagnostics. [D] . Limmer, Joel David. 1997

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6. A Rolling Bearing Fault Classification Scheme Based on k-Optimized Adaptive Local Iterative Filtering and Improved Multiscale Permutation Entropy [O] . Yi Zhang, Yong Lv, Mao Ge 2021

机译：一种基于K优化自适应局部迭代过滤和改进的多尺度置换熵的滚动轴承故障分类方案
7. A Novel Bearing Fault Diagnosis Methodology Based on SVD and One-Dimensional Convolutional Neural Network [O] . Yangyang Wang, Shuzhan Huang, Juying Dai, 2020

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8. Detection of Naturally Occurring Gear and Bearing Faults in a Helicopter Drivetrain. [R] . B. D. Dykas E. C. Ames K. E. LaBerge 2014

机译：直升机传动系统中自然发生的齿轮和轴承故障的检测。

Novel methodology for broken-rotor-bar and bearing faults detection through SVD and information entropy

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