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Strength of modes in rotating machinery

Chong-Won Lee, Dong-Ju Han
2008 Journal of Sound and Vibration  
There have been many attempts to apply those actuators to excite the rotors for parameter identification, to control the motion of the rotating shaft and the bearing housing, and, to control the fluid  ...  Automatic balancer, for example, is a typical mechatronics product in rotating machinery that has a long history of development.  ...  For example, Kaliszer developed a sophisticated automatic balancing device with a single angular and sliding unbalance arm [36] and an adaptively controlled automatic balancing system for grinding machines  ... 
doi:10.1016/j.jsv.2007.11.038 fatcat:kls3jspo25d2jlvlqevgxvlq6i

Automatic condition monitoring of electromechanical system based on MCSA, spectral kurtosis and SOM neural network

Rahmoune Chemseddine, Zair Mohamed, Benazzouz Djamel, Ratni Azeddine
2019 Journal of Vibroengineering  
The gearbox system is an essential component of mechanical system in fault identification and classification domains.  ...  With the aim to automatically diagnose these two faults, a dynamic model of an electromechanical system which is a simple stage gearbox with and without defect driven by a three phase induction machine  ...  Therefore, the SOM neural network is applied for automatic gear defects identification and classification.  ... 
doi:10.21595/jve.2019.20056 fatcat:zuw6ohypc5dl7cuq7kh4kztjaa

A Review of Artificial Intelligence Algorithms Used for Smart Machine Tools

Chih-Wen Chang, Hau-Wei Lee, Chein-Hung Liu
2018 Inventions  
feature extraction scheme for the diagnosis of journal bearing rotor systems [85], a CNN method for fault detection in rotating machinery [86], a hierarchical adaptive deep CNN approach to bearing fault  ...  This paper offers a review of the artificial intelligence (AI) algorithms and applications presently being used for smart machine tools.  ...  tool wear estimation [129] , optical image scattering and hybrid artificial intelligence techniques for intelligent tool wear identification [130] , a pattern recognition method for identifying the  ... 
doi:10.3390/inventions3030041 fatcat:6qrwhmrl2bfwrgmovqvsyx5p3y

Sequential fault detection for sealed deep groove ball bearings of in-wheel motor in variable operating conditions

Hongtao Xue, Man Wang, Zhongxing Li, Peng Chen
2017 Journal of Vibroengineering  
The experiment results confirmed that the proposed method can excellently perform fault detection and fault-type identification for the SDGBB of in-wheel motor in variable operating conditions.  ...  Therefore, this study presents a new intelligent diagnosis method for detecting SDGBB faults of in-wheel motor.  ...  Acknowledgements This project is supported by the National Natural Science Foundation of China  ... 
doi:10.21595/jve.2017.18413 fatcat:b2zodeqtlnfrrk7jgcqwbky244

Basic research on machinery fault diagnostics: Past, present, and future trends

Xuefeng Chen, Shibin Wang, Baijie Qiao, Qiang Chen
2017 Frontiers of Mechanical Engineering  
On the basis of the review of basic theory of machinery fault diagnosis and its practical applications in engineering, the paper concludes with a brief discussion on the future trends and challenges in  ...  Machinery fault diagnosis has progressed over the past decades with the evolution of machineries in terms of complexity and scale.  ...  , and reproduction in any medium, provided the appropriate credit is given to the original author(s) and the source, and a link is provided to the Creative Commons license, indicating if changes were made  ... 
doi:10.1007/s11465-018-0472-3 fatcat:xngm4jcct5berhuf33rqoxfc6i

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, and article number.  ...  ., +, TIM 2021 3517010 Novel Convolutional Neural Network (NCNN) for the Diagnosis of Bearing Defects in Rotary Machinery.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

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

Mariusz Kostrzewski, Rafał Melnik
2021 Sensors  
This combination of literature review approaches allows the authors to focus on the identification of the most influential contributors to the advances in research in the analyzed area of interest, and  ...  The approaches to condition monitoring of various rail transport systems—especially in the context of rail vehicle subsystem and track subsystem monitoring—have been evolving, and have become equally significant  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21144710 fatcat:3hujhcle5fc3ppi3by3hcsiwou

Guest Editorial Introduction to the Focused Section on Optomechatronics

Farrokh Janabi-Sharifi, Hyungsuck Cho, Toshio Fukuda
2010 IEEE/ASME transactions on mechatronics  
A behavior-based artificial intelligence approach was used in the design of the mobile robot, with several modules developed for generating behaviors.  ...  The authors employed a laser-based profiler coupled with the closed-circuit television camera, to automatically detect pipe defects based on changes in the light intensity values of the projected rings  ... 
doi:10.1109/tmech.2010.2052283 fatcat:s7ybg67rm5afbci67jcrotj7iy

Monitoring of Preload Variation of Linear Guide Positioning Stage Using Artificial Neural Network

Wei-Cheng Shih, Furqan Furqanuddin, Po-Lin Lee, Jui-Pin Hung
2021 Applied Sciences  
The results verify the feasibility of online preload identification for the condition monitoring of the feeding system.  ...  In this study, the relationship between the contact stiffness and preload level of a linear guide was investigated by an experimental analysis.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11177902 doaj:a1ab2691127c42d8b876186a44d632ea fatcat:u6spj72myvbzfe56fadoco6qey

Research on Voltage Waveform Fault Detection of Miniature Vibration Motor Based on Improved WP-LSTM

Ruirui Wang, Zhan Feng, Sisi Huang, Xia Fang, Jie Wang
2020 Micromachines  
The memory characteristics of the LSTM network are used to fully learn the time-series fault feature information in the unsteady state signal, and then, the model is used to diagnose the motor fault.  ...  To solve the problem of vibration motor fault detection accuracy and inefficiency in smartphone components, this paper proposes a fault diagnosis method based on the wavelet packet and improves long and  ...  Funding: This study was supported by a fund for the research of intelligent meter sorting based on artificial intelligence identification technology. The fund number is 2019CDLZ-24.  ... 
doi:10.3390/mi11080753 pmid:32752053 fatcat:qs2m4fofv5ejzpenjwqfpy62z4

A non-contact fault diagnosis method for rolling bearings based on acoustic imaging and convolutional neural networks

Ran Wang, Fengkai Liu, Fatao Hou, Weikang Jiang, Qilin Hou, Longjing Yu
2020 IEEE Access  
In this paper, a new non-contact ABD method for rolling bearings using acoustic imaging and convolutional neural networks (CNN) is proposed.  ...  Acoustical-based fault diagnosis (ABD) has the advantage of non-contact measurement over VBD. However, ABD has received little attention and rarely applied in bearing fault diagnosis.  ...  [31] proposed an improved deep CNN model for defect identification of the centrifugal pump using acoustic images.  ... 
doi:10.1109/access.2020.3010272 fatcat:lvt4hlglmjbqpoqrzlgjpyghs4

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
-5874 Heng, Y., see Xue, M., TIM June 2020 3812-3817 Henry, M.P., The Prism: Recursive FIR Signal Processing for Instrumentation Applications; TIM April 2020 1519-1529 Heo, S., see Jung, J.H., TIM  ...  Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862  ...  ., +, TIM Sept. 2020 6058-6069 Artificial intelligence Enabling Precision Agriculture Through Embedded Sensing With Artificial Intelligence.  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

2019 Index IEEE Transactions on Instrumentation and Measurement Vol. 68

2019 IEEE Transactions on Instrumentation and Measurement  
., +, TIM July 2019 2346-2355 Automatic optical inspection A CNN-Based Defect Inspection Method for Catenary Split Pins in High-Speed Railway.  ...  ., +, TIM Feb. 2019 586-594 Cracks Comparison Study of Different Features for Pocket Length Quantification of Angular Defects Using Eddy Current Pulsed Thermography.  ...  Image scanners Nonlinear Reconstruction of Multilayer Media in Scanning Microwave Microscopy. Wei, Z., +, TIM Jan. 2019 197-205  ... 
doi:10.1109/tim.2019.2956662 fatcat:kotlu7gwcngrdkelerc5va2hqe

A Review on Self-Recovery Regulation (SR) Technique for Unbalance Vibration of High-End Equipment

Xin Pan, Jiaqiao Lu, Jiaji Huo, Jinji Gao, Haiqi Wu
2020 Chinese Journal of Mechanical Engineering  
The system can online generate the self-recovery force to restrain the unbalance vibration of the equipment in operation, which is an important direction for the development of the equipment to the advanced  ...  AbstractThe high-end equipment represented by high-end machine tools and aero-engines is the core component of the national intelligent manufacturing plan, and the mass unbalance is the main reason for  ...  Acknowledgements The authors sincerely thanks to National Natural Science Foundation of China (NSFC) for funding and Beijing University of Chemical Technology (BUCT) for providing us with a good platform  ... 
doi:10.1186/s10033-020-00514-7 fatcat:qo6sh3rxf5grxainqgjhluh2he

Ontology-Based Context Modeling in Physical Asset Integrity Management

Ali Al-Shdifat, Christos Emmanouilidis, Muhammad Khan, Andrew G. Starr
2020 Frontiers in Computer Science  
the delivery of monitoring solutions; and to develop a maintenance context ontology focused on failure analysis of mechanical components so as to drive monitoring services adaptation.  ...  IoT-generated data are increasingly considered as an asset and the data asset value needs to be maximized too. However, asset-generated data in practice are often collected in non-actionable form.  ...  For instance, this could be related to determining the failure modes of a part, the functional effect of a defect on the operation of the test rig, the measurement alternatives suitable for specific defects  ... 
doi:10.3389/fcomp.2020.578673 fatcat:ywgtd4wg2zc55mdmmwsafdcvl4
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