133 Hits in 12.8 sec

A Personalized Diagnosis Method to Detect Faults in a Bearing Based on Acceleration Sensors and an FEM Simulation Driving Support Vector Machine

Xiaoyang Liu, Haizhou Huang, Jiawei Xiang
2020 Sensors  
The personalized diagnosis method is applied to detect bearing faults of a public bearing dataset.  ...  A personalized diagnosis fault method is proposed to activate the smart sensor networks using finite element method (FEM) simulations. The method includes three steps.  ...  In this paper, we proposed a new personalized diagnosis method called FEM simulation driving SVM to detect faults in a bearing.  ... 
doi:10.3390/s20020420 pmid:31940822 pmcid:PMC7013674 fatcat:2gg7nchw3ncddfkty3d7etge44

Review of Health Prognostics and Condition Monitoring of Electronic Components

Cherry Bhargava, Pardeep Kumar Sharma, Senthilkumar Mohan, P. Sanjeevikumar, Vigna K. Ramachandaramurthy, Zbigniew Leonowicz, Frede Blaabjerg, Massimo Mitolo
2020 IEEE Access  
To meet the specifications of low cost, highly reliable electronic devices, fault diagnosis techniques play an essential role.  ...  INDEX TERMS Reliability methods, condition monitoring, faults and failures, prognostics, diagnostics. and the Habilitate Doctorate degree from the  ...  METHODS Based on the statistical learning concept, Support Vector Machine (SVM) is a powerful reliability analysis technique, based on the learning system.  ... 
doi:10.1109/access.2020.2989410 fatcat:ercxzerrazgg7c55cahl2ndi3a

Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research [article]

Shreyas Gawde, Shruti Patil, Satish Kumar, Pooja Kamat, Ketan Kotecha, Ajith Abraham
2022 arXiv   pre-print
Several researchers have published work related to fault diagnosis in rotating machines, mainly exploring a single type of fault.  ...  In this regard, this paper attempts to achieve the same by implementing a systematic literature review on a Data-driven approach for multi-fault diagnosis of Industrial Rotating Machines using Preferred  ...  fault diagnosis, and what is the future scope based on the survey.  ... 
arXiv:2206.14153v1 fatcat:qqcznet7cjb63ioed3rh77cv5q

Implementation of Digital Twins for electrical energy conversion systems in selected case studies

G L Demidova, A Kallaste, V Kuts, T Orosz, A Rassõlkin, V Rjabtšikov, T Vaimann
2021 Proceedings of the Estonian Academy of Sciences  
Special attention is paid to the possible application of Digital Twins in faults diagnostics and prognostics of electrical energy conversion systems.  ...  The objective of the paper is to give an overview of the successful application of Digital Twins in electrical energy conversion systems, such as industrial robotics and wind turbines; to discuss trends  ...  Kallaste is involved in expertise and consultations for private companies in the field of electrical machines, drives, and their diagnostics.  ... 
doi:10.3176/proc.2021.1.03 fatcat:ekfqmqfswbcmle2waalzc25tzu

A New Transfer Learning Fault Diagnosis Method Using TSC and JGSA Under Variable Condition

Yujie Yu, Chunguang Zhang, Yingjie Li, Yuangang Li
2020 IEEE Access  
A personalized diagnosis method to detect faults in a bearing based on acceleration sensors and an FEM simulation driving support vector machine is proposed [39] .  ...  A personalized diagnosis method to detect faults in gears using numerical simulation and extreme learning machine is proposed [38] .  ... 
doi:10.1109/access.2020.3025956 fatcat:o7bno6xeojcx3fyr55xsjiyq2q

Tensor Transfer Learning for Intelligence Fault Diagnosis of Bearing with Semisupervised Partial Label Learning

Chaofan Hu, Zhichao Zhou, Biao Wang, WeiGuang Zheng, Shuilong He, Haidong Shao
2021 Journal of Sensors  
A new tensor transfer approach is proposed for rotating machinery intelligent fault diagnosis with semisupervised partial label learning in this paper.  ...  Ultimately, the proposed method is used to identify faults. The effectiveness and feasibility of the proposed method has been thoroughly validated by transfer fault experiments.  ...  Acknowledgments This study is supported by the subject of Director of Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology, Guilin University of Electronic Technology (Grant  ... 
doi:10.1155/2021/6205890 fatcat:m4f7mvmwevfszfhurvnvjkrq4y

Health Monitoring and Fault Diagnostics of Wind Turbines [article]

Chao Wang
2016 Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet  
In particular, I must acknowledge him for his understanding and consent on my temporary absence in 2012 dealing with my personal issues.  ...  I appreciate his vast knowledge and skills in many areas (e.g., renewable energy, power electronics, power system, electrical machine).  ...  Othman, and S. Othman, "Support Vector Machines for Fault Detection in Wind Turbines," in Proc. IFAC World Congress, 2011, pp. 7067-7072. [67] W. Chen, S. Ding, A. Sari, A. Naik, A. Khan, and S.  ... 
doi:10.5278/ fatcat:n6akgzp4cvaytbwraztzmdpqv4

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
Gharibeh, H.F., Fault Diagnosis in Photovoltaic Arrays Using GBSSL Method and Proposing a Fault Correction System; TII Aug. 2020 5300-5308  ...  Distributed Clock Synchronization Based on Intelligent Clustering in Local Area Industrial IoT Systems; TII June 2020 3697-3707 Jia, S., see Chen, C., 1873-1884 Jia, W., see Wang, T., 2054-2062 Jia,  ...  ., +, TII Aug. 2020 5234-5243 Machine bearings FEM Simulation-Based Generative Adversarial Networks to Detect Bearing Faults.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

Condition Monitoring of Rail Transport Systems: A Bibliometric Performance Analysis and Systematic Literature Review

Mariusz Kostrzewski, Rafał Melnik
2021 Sensors  
This paper reviews existing literature in order to present an up-to-date, content-based analysis based on a coupled methodology consisting of bibliometric performance analysis and systematic literature  ...  The evolution of the approaches applied to rail systems' condition monitoring has followed manual maintenance, through methods connected to the application of sensors, up to the currently discussed methods  ...  Acknowledgments: To those who matter. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21144710 fatcat:3hujhcle5fc3ppi3by3hcsiwou

Physics-Based Digital Twins Merging With Machines: Cases of Mobile Log Crane and Rotating Machine

Emil Kurvinen, Antero Kutvonen, Juhani Ukko, Qasim Khadim, Yashar Shabbouei Hagh, Suraj Jaiswal, Neda Neisi, Victor Zhidchenko, Juha Kortelainen, Mira Timperi, Kirsi Kokkonen, Juha Virtanen (+20 others)
2022 IEEE Access  
In particular, real-time capable dynamic simulation has made it possible for simulation models to run in parallel and simultaneously with operating machinery.  ...  Real-world products and physics-based simulations are becoming interconnected.  ...  His research interests include fault detection and diagnosis systems, fault tolerant controls, sliding mode controller, synergetic control, nonlinear Kalman filtering, and robotic SURAJ JAISWAL was born  ... 
doi:10.1109/access.2022.3170430 fatcat:pyx4r7lu4javvgu7vvzsgbarha

Laser based measurement for the monitoring of shaft misalignment

Anthony Simm, Qing Wang, Songling Huang, Wei Zhao
2016 Measurement (London)  
A non-contact laser based measurement method is used to monitor positional changes of a rotating shaft in real time while in operation.  ...  2016) 'Laser based measurement for the monitoring of shaft misalignment. ', Measurement., Further information on publisher's website: The full-text may be used and/or reproduced, and given to third parties  ...  Examples of previous research on condition monitoring for rotating machines use vibration sensors for the monitoring of bearings to identify shaft rub and shaft misalignment [3] , fault diagnosis using  ... 
doi:10.1016/j.measurement.2016.02.034 fatcat:jmpdcs7jirfbzgxn3dyq4koefy

On-Line Open-Phase Fault Detection Method for Switched Reluctance Motors with Bus Current Measurement

Alejandra de la Guerra, Victor M. Jimenez-Mondragon, Lizeth Torres, Rafael Escarela-Perez, Juan C. Olivares-Galvan
2020 Actuators  
This article introduces an on-line fault diagnosis (FD) system to detect and recognize open-phase faults in switched reluctance motors (SRMs).  ...  Both tasks, detection and recognition, are based on functions built with the same information but from different sources.  ...  Section 4 is devoted to a numerical system model based on co-simulation, and Section 5 is dedicated to the evaluation and comparison of the fault detection and recognition method.  ... 
doi:10.3390/act9040117 fatcat:bffewqah65gf3la625shyldm3q


2012 Procedia Engineering  
based on Least Squares Support Vector Machine Z.  ...  on Support Vector Regression S.  ... 
doi:10.1016/s1877-7058(12)01003-x fatcat:h3tienvctfgkpkwmhui6bgs4ee

FPGA based controller drive of BLDC motor using digital PWM technique

A. Tashakori, M. Hassanudeen, M. Ektesabi
2015 2015 IEEE 11th International Conference on Power Electronics and Drive Systems  
Operation of both drives with a single angular speed sensor, e.g. in case of a sensor fault, is investigated.  ...  Modes in Single Session ADEM-III: Analysis & Design of Electrical Machines III In this research, a Finite Elements Method (FEM) model of an 8 pole 12 slot Brushless DC (BLDC) motor and a 3 phase BLDC  ...  The different SVPWM switching strategies are implemented on a 415V, 2hp, 50Hz, 3-phase induction motor drive which is fed from an IGBT based 2 KVA voltage source inverter (VSI) with a DC bus voltage of  ... 
doi:10.1109/peds.2015.7203584 fatcat:ffarubukq5gothj7a2mkcdyit4

Analysis of Aperture Shape Changing Trend Base on the Shaped Charge Jet Penetration through the Steel Target [chapter]

Junqing Huang, Yalong Ma, Kelei Huang, Jianxun Zhao
2012 Communications in Computer and Information Science  
A commanding model of counterwork simulation system based on value driving decision-making is proposed in this paper. The theoretical foundation of the method is Nash Equilibrium of game theory.  ...  This paper analyzes the value driving decision-making model which is based on entity's maximum benefit and gives examples of value driving decision-making in the Counterwork Simulation System.  ...  Support vector machine has been successfully applied to the fault diagnosis field, but there are still some problems in practical applications.  ... 
doi:10.1007/978-3-642-34384-1_2 fatcat:xvp3o6agk5hxpmbjptnthxiz5m
« Previous Showing results 1 — 15 out of 133 results