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Multi-Features Fusion for Fault Diagnosis of Pedal Robot Using Time-Speed Signals

Yuhao Zhu, Zeyu Fu, Zhuang Fu, Xi Chen, Qi Wu
2019 Sensors  
These indicate that the multi-features fusion model and Treelet Transform method is quite effective. Therefore, the proposed method is quite helpful for fault diagnosis of the pedal robot.  ...  In this paper, a new fault diagnosis method is proposed and applied to the pedal robot.  ...  Acknowledgments: We want to gratefully acknowledge Yao Wang for his help and feedback provided on this work. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s19010163 fatcat:glcyjkb5vrhhhox4hwdgdx4zny

Multi-Sensor Fault Detection, Identification, Isolation and Health Forecasting for Autonomous Vehicles

Saeid Safavi, Mohammad Amin Safavi, Hossein Hamid, Saber Fallah
2021 Sensors  
By using real-world data and artificial injection of different types of sensor faults to the healthy signals, data models can be trained using machine learning techniques.  ...  This paper proposes a novel fault detection, isolation, identification and prediction (based on detection) architecture for multi-fault in multi-sensor systems, such as autonomous vehicles.Our detection  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21072547 pmid:33916493 fatcat:pmh5myvbjfdb3c4bnhyucdzyc4

Sensors and Sensing for Intelligent Vehicles

David Fernández Llorca, Iván García Daza, Noelia Hernández Parra, Ignacio Parra Alonso
2020 Sensors  
Over the past decades, both industry and academy have made enormous advancements in the field of intelligent vehicles, and a considerable number of prototypes are now driving our roads, railways, air and  ...  The great complexity and the almost infinite variety of possible scenarios in which an intelligent vehicle must operate, raise the problem of perception as an "endless" issue that will always be ongoing  ...  Acknowledgments: The editors would like to thank all the authors who have submitted their manuscripts to this Special Issue, including the authors of the rejected papers, and all the reviewers for their  ... 
doi:10.3390/s20185115 pmid:32911787 pmcid:PMC7570960 fatcat:nglhjsaeubdytignfjk3gfr2wi

Sliding bifurcations in resonant inverters

Enrique Ponce, Luis Benadero, Abdelali El Aroudi, Luis Martinez-Salamero
2017 2017 14th International Multi-Conference on Systems, Signals & Devices (SSD)  
We will propose different ways of fusion in medical diagnosis of diabetes analysis problem as an application of this work.  ...  Several methods for diagnosis and therapy monitoring, as time frequency analysis, principal component analysis and pattern recognition of motion signals with application to gait rehabilitation evaluation  ... 
doi:10.1109/ssd.2017.8167001 dblp:conf/IEEEssd/PonceBAM17 fatcat:6lbol63imjffhezjv6yc6cnheu

Fusion of Artificial Intelligence in Neuro-Rehabilitation Video Games

Esfahlani S S., Butt J., Shirvani H.
2019 IEEE Access  
Experiments to obtain the input signals and desired outputs were conducted for the learning and validation of the network.  ...  Moreover, it is manifested as an alternative approach for possible movements to improve incorrect positioning through real-time visual feedback on the screen; 52 participants volunteered to engage in the  ...  ACKNOWLEDGMENT The authors would like to express their sincere gratitude to Urmia University of Technology and physiotherapists in the institution for the support, and cooperation of the study.  ... 
doi:10.1109/access.2019.2926118 fatcat:roovd5jtiva4nh52vgz42wy6ka

Driving style recognition method using braking characteristics based on hidden Markov model

Chao Deng, Chaozhong Wu, Nengchao Lyu, Zhen Huang, Xiaolei Ma
2017 PLoS ONE  
Since the advantage of hidden Markov model in dealing with time series data and for the sake of identifying driving style, three driving style (aggressive, moderate and mild) are modeled reasonably through  ...  Secondly, the braking behavior observation sequence is used to describe the initial parameters of hidden Markov model, and the generation of the hidden Markov model for differentiating and an observation  ...  Naji for their linguistic assistance during the preparation of this manuscript. Author Contributions Conceptualization: Zhen Huang.  ... 
doi:10.1371/journal.pone.0182419 pmid:28837580 pmcid:PMC5570378 fatcat:wf7c5wszn5ea3gjtvvfrtluemi

Exploiting Physical Dynamics to Detect Actuator and Sensor Attacks in Mobile Robots [article]

Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu
2017 arXiv   pre-print
Through leveraging physical dynamics of mobile robots, we develop RIDS, a novel robot intrusion detection system that can detect actuator attacks as well as sensor attacks for nonlinear mobile robots subject  ...  Evaluation of 20 experiments shows that the averages of false positive rates and false negative rates are both below 1%. Average detection delay for each attack remains within 0.40s.  ...  In 2013, a multi-million yacht was demonstrated to be hijacked and controlled using spoofed GPS signals [67] . Many missions of robots are safety critical.  ... 
arXiv:1708.01834v1 fatcat:vjo56t7tc5gcxlmeo4o7ci4yam

Context Aware Control Systems: An Engineering Applications Perspective

Ricardo Alfredo Cajo Diaz, Mihaela Ghita, Dana Copot, Isabela Roxana Birs, Cristina Muresan, Clara Ionescu
2020 IEEE Access  
While speed, acceleration and pedals position signals are the context observations for the K-means clustering of driving behaviors, the Markov chain-based driver models are developed for each category.  ...  This method is in the form of discrete- time, and only uses the sampled-data position signal, thereby being more suitable for practical applications.  ...  Her research interests include control of various processes, dead-time compensation, and fractional-order control.  ... 
doi:10.1109/access.2020.3041357 fatcat:774abyybrbb4hcxtfepj2xngd4

Program

2021 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)  
In the conventional time-frequency method, we use the short-time Fourier transform (STFT) to analyze signals.  ...  The most commonly used representative for the input signal used to train the DDAE might be the spectrogram, which is the ordered series of the short-time Fourier transform (STFT) of each frame  ... 
doi:10.1109/icce-tw52618.2021.9602919 fatcat:aetmvxb7hfah7iuucbamos2wgu

Public acceptance and perception of autonomous vehicles: a comprehensive review

Kareem Othman
2021 AI and Ethics  
Besides, the social acceptance is considered as a main key factor for the success of any new technology.  ...  for the future.  ...  In those complex cases, other techniques such as artificial neural networks are used for fault detection and diagnosis [132] .  ... 
doi:10.1007/s43681-021-00041-8 pmid:34790943 pmcid:PMC7908960 fatcat:zvhucyzurfdjxll6yvk7x6eovu

Alternative Power Systems and Devices [chapter]

2017 Systems, Controls, Embedded Systems, Energy, and Machines  
use.  ...  Reasonable efforts have been made to publish reliable data and information, but the author and the publisher cannot assume responsibility for the validity of all materials or for the consequences of their  ...  However, for faults in the remaining portion of the line, the near end clears the fault at high speed, i.e., in zone 1 time, while the remote end clears the fault in zone 2 time.  ... 
doi:10.1201/9781420037043-7 fatcat:px3rpk2xgvhtbjwr7s3h3k6ute

Abstracts

2021 Basic & Clinical Pharmacology & Toxicology  
Compared with routine emergency nursing, emergency nursing model is superior to routine emergency nursing in terms of first-aid time, hospital stay, and emergency medical expenses, which is worthy of application  ...  The emergency medical expenses of the experimental were less than those of the control, with obvious differences between the two groups and statistical significance.  ...  Methods: In this paper, on the basis of multi-feature fusion, deep learning based on singleshot multibox device (SSD) and Hoffman forest are used to detect pedestrians.  ... 
doi:10.1111/bcpt.13588 pmid:34041856 fatcat:wobg4mjgunfilgvzqsj5l4an7m

Vehicle Telematics Via Exteroceptive Sensors: A Survey [article]

Fernando Molano Ortiz, Matteo Sammarco, Luís Henrique M. K. Costa, Marcin Detyniecki
2020 arXiv   pre-print
We conclude showing open challenges using exteroceptive sensors both for industry and research.  ...  Whereas a very large number of sensors are available in the automotive field, currently just a few of them, mostly proprioceptive ones, are used in telematics, automotive insurance, and mobility safety  ...  The authors use a SVM model in combination with feature engineering extraction methods. Results show that wet asphalt is detected 100% of the time, even using just one feature.  ... 
arXiv:2008.12632v1 fatcat:lwzwvdldnbbmhlkwsjzipowfly

Proceedings of The International Research Education & Training Center [article]

Namig Isazade
2021 Zenodo  
Proceedings of The International Research Education & Training Center  ...  Graph of vibration signals in the time domain for 40 minutes.It is very difficult to determine the classification of various structures without errors using signals in the time domain.  ...  The new hydraulic pump was used in test measurements, the signals from the sensors were less excited, and the sensors could not detect any fault signals.  ... 
doi:10.5281/zenodo.5502124 fatcat:j5vvdb3j5nemvpo4splz4n7ziq

Integrated decision and control of human-engineered complex systems

D. K. Tolani, A. Ray, J. F. Horn
2006 International Journal of General Systems  
and control that monitors the system response for detection and mitigation of anomalous behaviour, performance degradation and potential degradation of structural durability.  ...  The lower tier incorporates continuouslyvarying control that is designed using a combination of PRC and DMC, and the upper tier is designed to provide information and intelligence through DES decision  ...  Acknowledgements The authors would like to thank Yasar Murat, Jialing Chen and Derek Bridges for their support in constructing and maintaining the rotorcraft simulation test  ... 
doi:10.1080/03081070600660962 fatcat:ikko7akl6fbvzgrq3ewogv3epu
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