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10th International Conference on Advances in Machinery, Material Science and engineering Application, MMSE 2024

作者： Zhao, Lei Xu, Meiye Zhai, Ran Jiao, Likuan Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China School of Mechanic Engineering Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9781643685465

Large rotating flexible machines are prone to vibration at high speeds, which is a difficult engineering problem. In this study, we have deeply explored its nonlinear dynamic behavior and vibration mechanism, especially considering the effect of parallel misalignment. Through mathematical modeling and MATLAB simulations, we found that the rotational speed and the amount of misalignment are the key parameters affecting the stability of the system. The results show that the rotational speed and parallel misalignment are the sensitive parameters of the system. When the amount of misalignment is 0.002 mm, with the increase of rotational speed, the elastic beam exhibits nonlinear M-type vibration, doubly periodic and chaotic behaviors, which show high-frequency abrupt excitation;when the angular speed is 50 rad/s, with the increase of the amount of misalignment from 0.001 mm to 0.1 mm, the system exhibits the transformation of doubly periodic, chaotic and proposed periodic motions, and the characteristics of intermittent vibration are significant. These results provide an important theoretical basis for suppressing its nonlinear vibration. © 2024 The Authors.

关键词： Rotating machinery

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Development of a desktop swarm robot system based on pheromone communication

Development of a desktop swarm robot system based on pheromo...

引用

作者： Kitamura, Naoyuki Nakamichi, Yoshiyuki Fukuda, Koji Advanced Course of Electricity and Control System Engineering Anan National College of Technology 265 Aoki Minobayashi Anan Tokushima 774-0017 Japan Department of Systems and Control Engineering Anan National College of Technology 265 Aoki Minobayashi Anan Tokushima 774-0017 Japan Department of Electronic Control Engineering Gifu National College of Technology 2236-2 Kamimakuwa Motosu Gifu 501-0495 Japan

ISBN: (纸本)9784990288037

Complex and adaptive behavior of population emerges in social insects. Especially in ants, pheromone communication is the key to understanding their swarm intelligence. This paper proposes a swarm robot system based on pheromone communication and reports our current status of development of the robot system. We believe that the system could be used in swarm robotics and complex systems education. ©ISAROB 2009.

关键词： Multipurpose robots

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Landing Area Prediction in Complex Terrains for Walking-assisted Lower-limb Exoskeleton Robot

Landing Area Prediction in Complex Terrains for Walking-assi...

引用

2023 International Conference on Biomimetic Intelligence and Robotics

作者： Liu, Yuexun Liu, Du-Xin Ma, Yue Guo, Sheng Wu, Xinyu Robotics Research Center School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing100044 China Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China

With the expansion of application scenarios, the walking-assisted lower-limb exoskeleton robot urgently needs to improve its walking ability in complex terrains. However, due to the lack of environmental understanding ability and decision-making ability, the exoskeleton can not meet the need of people with lower-limb disability in complex terrains. To improve the walking abillity, this paper proposes a method of predicting the landing area in complex terrains for walking-assisted lower-limb exoskeleton robot. Multiple sensors were used to obtain the terrain information, step length, and stride length of human walking, and a multi-type input convolutional network was built to establish the mapping relationship to learn the decision-making mechanism of human standing in a complex environment. The result shows that the established network effectively predicts the landing area. Under the condition of full training, the predicted position deviation of the landing area is controlled within 6%, and the prediction rationality of the landing area can reach 90%. © 2023 The Authors. Published by Elsevier B.V.

关键词： Decision making

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Research on the optimization of blanking process for the circuit breaker positioning plate

引用

engineering Letters 2021年第4期29卷 1585-1594页

作者： Zheng, Qingchun Liu, Jiaqi Liu, Jingna Zhu, Peihao Ma, Wenpeng Gao, Zhongyu Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China

This paper, through the theory of multi-objective parameter optimization, the finite-element analysis and central composite test of the blanking process of the locating plate of the breaker are carried out. The optimal blanking process parameters of the positioning plate of the circuit breaker are determined, and the influence laws of the independent variable blanking gap, the punch edge radius and the blanking speed on the maximum blanking force and the length of the bright belt are obtained. The experimental results show that the production efficiency of the positioning plate of the circuit breaker is increased by 25%, and the actual machining error is only 4%, which provides a certain guiding significance for optimizing the blanking process parameters. © 2021, International Association of Engineers. All rights reserved.

关键词： Multiobjective optimization

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Research on Identification Strategy of Fault-Sensitive Frequency for Planetary Gearboxes

Research on Identification Strategy of Fault-Sensitive Frequ...

引用

TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Xie, Ruitong Zhang, Mian Chen, Jiwei Zhu, Songsong Wang, Zhiyuan Zhao, Mengxiong Xiang, Hongbiao Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechanical System Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Binshuixidao 391 Xiqing District Tianjin300384 China State Key Laboratory of Water Resources Engineering and Management Wuhan University Wuhan430072 China

ISBN: (纸本)9783031694820

Planetary gearboxes find extensive application in wind power generation, aerospace, industrial production and other fields. Harsh operational conditions and prolonged periods of continuous work often lead to various gear damages. Therefore, it is important to continuously monitor the health status of planetary gearboxes. However, the fault-sensitive frequencies of planetary gearboxes used in the existing signal models and fault diagnosis indicators are calculated theoretically or searched artificially. In response to this, this paper proposes a strategy for identifying fault-sensitive frequencies in planetary gearboxes intelligently by combining spectral amplitude analysis with three models: Random Forest (RF), Support Vector Machine (SVM) and Deep Neural Network (DNN). Experiments are carried out to verify the effectiveness and superiority of the proposed strategy. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Deep neural networks

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An Order Demodulation Analysis Method for Planetary Gearboxes

An Order Demodulation Analysis Method for Planetary Gearboxe...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Chen, Jiwei Xie, Ruitong Zhu, Songsong Zhao, Mengxiong Wang, Zhiyuan Zhang, Mian Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechanical System Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Binshuixidao 391 Xiqing District Tianjin300384 China State Key Laboratory of Water Resources Engineering and Management Wuhan University Wuhan430072 China

ISBN: (纸本)9783031694820

In addressing challenges such as the speed change of planetary gearbox (PG) during operation and the complexity in extracting fault features, an order demodulation analysis method based on order tracking (OT) and variational mode decomposition (VMD) is proposed. Non-stationary time domain signals are transformed into relatively stable angular domain signals through angular resampling. The intrinsic mode function (IMF) is obtained by demodulation of the angular multi-component signal using the VMD method. The instantaneous order of a proper IMF is calculated via Hilbert Transform. The sensitive single component is selected by matching the meshing order and the central order of the instantaneous order. Finally, the amplitude of the characteristic order components extracted from the instantaneous order spectrum was used as features and Support Vector Machine (SVM) was employed for the classification of four different conditions in the sun gear. Comparing the results of the proposed method with Deep Neural Networks (DNN) and Convolutional Neural Networks (CNN), the experimental results demonstrate the effectiveness of the proposed method in diagnosing PGs under non-stationary conditions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Epicyclic gears

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Highly safe driving control system for model vehicles using different kinds of sensors and one-way wheels

Highly safe driving control system for model vehicles using ...

引用

International Symposium on Communications and Information Technologies (ISCIT)

作者： Takeshi Kasuga Satoshi Yakubo Department of Electrical Engineering Fukushima National College of Technology Iwaki Japan Advanced Course in Mechanical and Electrical System Engineering Fukushima National College of Technology Iwaki Japan

This paper presents a highly safe driving control technique using different kinds of sensors and one-way wheels to avoid the rear-end collision and sudden stop of the model vehicle. The basic concept is ldquosensor diversityrdquo which enables fault tolerant operations. An appropriate combination of different kinds of sensors is introduced to reduce the occurrence of multiple faults. The systematic design of the model vehicle is presented, and the rear-end collision avoidance can be achieved even if a fault occurs at any sensor. Moreover, if the wheel races even if a fault occurs at any motor and then the rotation of the axle stops, a safe driving can be maintained. The important design concept is that a fault makes linearly additive effect with a small value to the final result. In order to meet the requirement, we introduce one-way wheels instead of usual wheels. It is shown in the experiment of driving control of the model vehicle that rear-end collision can be avoided and then safety operations can be achieved.

关键词： control system synthesis Vehicle driving Vehicle safety Sensor systems Wheels Collision avoidance Road accidents Vehicle crash testing Vehicles Automobiles

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Non-contact Physiological Parameters Detection Based on MTCNN and EVM 5th

Non-contact Physiological Parameters Detection Based on MTCN...

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5th International Conference on Cognitive systems and Signal Processing, ICCSIP 2020

作者： Zhao, Jinfa Zhang, Wenchang Chai, Rongxuan Wu, Hang Chen, Wei Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin China Institute of Medical Support Technology Academy of Military Sciences of Chinese PLA Tianjin China

ISBN: (纸本)9789811623356

Non-contact physiological parameters detection has become an important but challenging task. This paper proposes a novel framework for Non-contact physiological parameters detection, which is based on MTCNN (Multi-task convolutional neural network) and EVM (Eulerian Video Magnification). The MTCNN is applied to compensate negative effects of the pseudo motion for improving the efficiency of face detection. The Laplacian pyramid of EVM is added to our framework to perform motion amplification to achieve simultaneous extraction of heart rate and respiration rate, which improves the accuracy of non-contact physiological parameter detection. Then we use FFT to analyze the relevant frequency bands in time domain and calculate the heart rate and breathing rate. In order to improve efficiency, GPU acceleration is implemented under the TensorRT framework. The experimental results based on data sets DUSS (detection under slight shaking) and DUO (detection under occlusion) show the effectiveness of this method. The average error of the heart rate and respiration rate are −0.1 and 0.6, respectively. Our method achieves comparable performance to finger clip oximeter with a good consistency, even in the case of wearing a mask. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Efficiency

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Design of a Highly Safe Model Vehicle for Rear-End Collision Avoidance Considering Multiple Faults of Sensors

Design of a Highly Safe Model Vehicle for Rear-End Collision...

引用

International Conference on Computational Intelligence, Modelling and Simulation (CSSIM)

This paper presents design of a highly safe driving control system using different kinds of sensors and its evaluation in order to avoid the rear-end collision of the model vehicle. The feature of the control is that an appropriate combination of sensing information from different kinds of sensors is introduced to reduce the occurrence of multiple faults. It is shown in the results of analysis of numerical values that the reliability of the combination of different kinds of sensors is higher than that of the combination of the same kind of sensors. Moreover, the systematic design of the model vehicle is proposed, and it is also shown in the experiment that the rear-end collision avoidance can be achieved even if a fault occurs at any sensor.

关键词： Vehicle safety Collision avoidance Vehicle driving Sensor systems Signal processing Road accidents Vehicles mechanical sensors Automobiles Computational modeling

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Design of a dependable model vehicle for rear-end collision avoidance and its evaluation

Design of a dependable model vehicle for rear-end collision ...

引用

IEEE Instrumentation and Measurement Technology Conference

ISBN: (纸本)9781424428328

It is important for constructing a safe automobile society to decrease traffic accidents such as rear-end collision, crossing collision, and right turn collisions. Especially, the number of the traffic accidents can be decreased significantly if the occurrence of rear-end collision can be avoided. The purpose of this paper is to design a dependable model vehicle for rear-end collision avoidance even if an external disturbance is injected. For the purpose of our study, we paid attention to following distance, driving speed of the proceeding vehicle, and driving speed of the succeeding vehicle. We propose a rear-end collision avoidance mechanism based on redundant sensor signal processing, which is designed by combining three kind of sensing information using sensors with different operating principles such as infrared communication for transmitting driving speed of the proceeding vehicle, an ultrasonic sensor for following distance, and a magnetic sensor for driving speed of the succeeding vehicle. In this new concept, since the operating principles of these sensors are different, we consider that the possibility of multiple fault can be greatly reduced. It is shown in the experiment that a fault occurs only in one sensor when the sensors are exposed to sunlight or impulsive sound as an external disturbance. As a result, rear-end collision can be avoided. In conclusion, the use of sensors with different operating principles is valid to avoid rear-end collision.

关键词： Collision avoidance Magnetic sensors Road accidents Vehicle driving Acoustic sensors Infrared sensors Automobiles Signal processing Process design Signal design

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