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< Page ,Total 23 >
Application of Instantaneous Rotational Speed to Detect Gearbox Faults Based on Double Encoders SCIE
期刊论文 | 2019 , 32 (1) | CHINESE JOURNAL OF MECHANICAL ENGINEERING
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Abstract :

Considerable studies have been carried out on fault diagnosis of gears, with most of them concentrated on conventional vibration analysis. However, besides the complexity of gear dynamics, the diagnosis results in terms of vibration signal are easily misjudged owing to the interference of sensor position or other components. In this paper, an alternative gearbox fault detection method based on the instantaneous rotational speed is proposed because of its advantages over vibration analysis. Depending on the timer/counter-based method for the pulse signal of the optical encoder, the varying rotational speed can be obtained effectively. Owing to the coupling and meshing of gears in transmission, the excitations are the same for the instantaneous rotational speed of the input and output shafts. Thus, the differential signal of instantaneous rotational speeds can be adopted to eliminate the effect of the interference excitations and extract the associated feature of the localized fault effectively. With the experiments on multistage gearbox test system, the differential signal of instantaneous speeds is compared with other signals. It is proved that localized faults in the gearbox generate small angular speed fluctuations, which are measurable with an optical encoder. Using the differential signal of instantaneous speeds, the fault characteristics are extracted in the spectrum where the deterministic frequency component and its harmonics corresponding to crack fault characteristics are displayed clearly.

Keyword :

Instantaneous rotational speed Multistage gearbox Optical encoder Localized fault

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GB/T 7714 Liang, Lin , Liu, Fei , Kong, Xiangwei et al. Application of Instantaneous Rotational Speed to Detect Gearbox Faults Based on Double Encoders [J]. | CHINESE JOURNAL OF MECHANICAL ENGINEERING , 2019 , 32 (1) .
MLA Liang, Lin et al. "Application of Instantaneous Rotational Speed to Detect Gearbox Faults Based on Double Encoders" . | CHINESE JOURNAL OF MECHANICAL ENGINEERING 32 . 1 (2019) .
APA Liang, Lin , Liu, Fei , Kong, Xiangwei , Li, Maolin , Xu, Guanghua . Application of Instantaneous Rotational Speed to Detect Gearbox Faults Based on Double Encoders . | CHINESE JOURNAL OF MECHANICAL ENGINEERING , 2019 , 32 (1) .
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Sparse Envelope Spectra for Feature Extraction of Bearing Faults Based on NMF SCIE
期刊论文 | 2019 , 9 (4) | APPLIED SCIENCES-BASEL
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Periodic impulses and the oscillation response signal are the vital feature indicators of rolling bearing faults. However, finding the suitable feature frequency band is usually difficult due to the interferences of other components and multiple resonance regions. According to the characteristics of non-negative matrix factorization (NMF) on a spectrogram, the feature extraction method from a sparse envelope spectrum for rolling bearing faults is proposed in this paper. On the basis of the time-frequency distribution (TFD) of the periodic transient oscillations, the basic matrix can be interpreted as the spectral bases, and the time weight matrix corresponding to spectral bases can be extracted by NMF. Because the bases and the weights have a one-to-one correspondence, the frequency band filtering with the basic component and the time domain envelope of the weight vector are calculated respectively. Then, the sparse envelope spectrum can be derived by the inner product of the above results. The effectiveness of the proposed method is verified by simulations and experiments. Compared with band-pass filtering and spectral kurtosis methods, and considering the time weights and corresponding the spectral bases for the periodic transient oscillations, the weak fault-rated feature can be enhanced in the sparse spectrum, while other components and noise are weakened. Therefore, the proposed method can reduce the requirement of selecting frequency band filtering.

Keyword :

rolling bearing fault feature extraction non-negative matrix factorization time-frequency distribution

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GB/T 7714 Liang, Lin , Shan, Lei , Liu, Fei et al. Sparse Envelope Spectra for Feature Extraction of Bearing Faults Based on NMF [J]. | APPLIED SCIENCES-BASEL , 2019 , 9 (4) .
MLA Liang, Lin et al. "Sparse Envelope Spectra for Feature Extraction of Bearing Faults Based on NMF" . | APPLIED SCIENCES-BASEL 9 . 4 (2019) .
APA Liang, Lin , Shan, Lei , Liu, Fei , Niu, Ben , Xu, Guanghua . Sparse Envelope Spectra for Feature Extraction of Bearing Faults Based on NMF . | APPLIED SCIENCES-BASEL , 2019 , 9 (4) .
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Dynamic Assessment of Rolling Bearing Reliability by State Visualization Based on Class Statistics EI Scopus CSCD PKU
期刊论文 | 2018 , 52 (6) , 23-29 | Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
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Abstract :

Most of the probability models of performance indexes are static probability models of single performance index in the study of the reliability evaluation of rolling bearings, which have large errors compared with the actual probability models. Therefore, a visualized dynamic assessment technology of rolling bearing reliability based on class statistics is proposed. When the bearing reliability declines, there may be a transition in its spatial state, and the probability model category will increases gradually. Selecting the root mean square and kurtosis value of rolling bearings as the analysis object, and the initial class probability model is established by using the nuclear density method. Then the initial class probability model is visualized to obtain the initial class probability image model. The failure rate is the ratio of the abnormal area to the total image area, and the reliability index is obtained. As the data are continuously updated, a dynamic reliability evaluation of the rolling bearings can be achieved. The rolling bearing life test data provided by the American intelligent maintenance system center are analyzed, and the results show that the new dynamic probability model can track the degradation process of rolling bearings in time, so as to reflect the degradation degree of the rolling bearings. © 2018, Editorial Department of Journal of Southwest Jiaotong University. All right reserved.

Keyword :

Class probabilities Class statistics Intelligent maintenance systems Probability modeling Reliability Evaluation Rolling bearing life Rolling bearings Static probability model

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GB/T 7714 Meng, Wenjun , Zhang, Sicong , Dan, Ziyan et al. Dynamic Assessment of Rolling Bearing Reliability by State Visualization Based on Class Statistics [J]. | Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University , 2018 , 52 (6) : 23-29 .
MLA Meng, Wenjun et al. "Dynamic Assessment of Rolling Bearing Reliability by State Visualization Based on Class Statistics" . | Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University 52 . 6 (2018) : 23-29 .
APA Meng, Wenjun , Zhang, Sicong , Dan, Ziyan , Liu, Dan , Xu, Guanghua . Dynamic Assessment of Rolling Bearing Reliability by State Visualization Based on Class Statistics . | Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University , 2018 , 52 (6) , 23-29 .
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Fault diagnosis of mechanical equipment based on data visualization EI Scopus
会议论文 | 2018 , 2018-January , 1-5 | 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
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The decision process of the traditional mechanical equipment fault diagnosis method is invisible; it is similar to the black box operation and difficult to find the hidden knowledge in the data. Aiming at this problem, a fault diagnosis method of mechanical equipment is proposed based on data visualization. Firstly the data is flattened based on the constellation, and taking into account the different contribution that each data plays, the weight of each feature data is optimized by genetic algorithm, and then the fault diagnosis model based on data visualization is constructed by using the boundary form of the plane point set. Finally the results of the experiments on gearbox test experiment reveal that the proposed method is superior to the K-Neighborhood method and accurate for the fault diagnosis. © 2017 IEEE.

Keyword :

constellation Decision process Fault diagnosis method Fault diagnosis model Hidden knowledge K neighborhoods Mechanical equipment Mechanical equipment fault

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GB/T 7714 Li, Guang , Li, Maolin , Liu, Dan et al. Fault diagnosis of mechanical equipment based on data visualization [C] . 2018 : 1-5 .
MLA Li, Guang et al. "Fault diagnosis of mechanical equipment based on data visualization" . (2018) : 1-5 .
APA Li, Guang , Li, Maolin , Liu, Dan , Xu, Guanghua , Zhou, Shiming . Fault diagnosis of mechanical equipment based on data visualization . (2018) : 1-5 .
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A Light Spot Humanoid Motion Paradigm Modulated by the Change of Brightness to Recognize the Stride Motion Frequency SCIE PubMed
期刊论文 | 2018 , 12 | FRONTIERS IN HUMAN NEUROSCIENCE
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The steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) usually has the advantages of high information transfer rate (ITR) and no need for training. However, low frequencies, such as the human stride motion frequency, cannot easily induce SSVEP. To solve this problem, a light spot humanoid motion paradigm modulated by the change of brightness was designed in this study. The characteristics of the brain response to the motion paradigm modulated by the change of brightness were analyzed for the first time. The results showed that the designed paradigm could induce not only the high flicker frequency but also the modulation frequencies between the change of brightness and the motion in the primary visual cortex. Thus, the stride motion frequency can be recognized through the modulation frequencies by using the designed paradigm. Also, in an online experiment, this paradigm was employed to control a lower limb robot to achieve same frequency stimulation, which meant that the visual stimulation frequency was the same as the motion frequency of the robot. Also, canonical correlation analysis (CCA) was used to distinguish three different stride motion frequencies. The average accuracies of the classification in three walking speeds using the designed paradigm with the same and different high frequencies reached 87 and 95% respectively. Furthermore, the angles of the knee joint of the robot were obtained to demonstrate the feasibility of the electroencephalograph (EEG)-driven robot with same stimulation.

Keyword :

steady-state visual evoked potential stride motion frequency motion modulated by the change of brightness same frequency stimulation brain-computer interface

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GB/T 7714 Zhang, Xin , Xu, Guanghua , Zhang, Xun et al. A Light Spot Humanoid Motion Paradigm Modulated by the Change of Brightness to Recognize the Stride Motion Frequency [J]. | FRONTIERS IN HUMAN NEUROSCIENCE , 2018 , 12 .
MLA Zhang, Xin et al. "A Light Spot Humanoid Motion Paradigm Modulated by the Change of Brightness to Recognize the Stride Motion Frequency" . | FRONTIERS IN HUMAN NEUROSCIENCE 12 (2018) .
APA Zhang, Xin , Xu, Guanghua , Zhang, Xun , Wu, Qingqiang . A Light Spot Humanoid Motion Paradigm Modulated by the Change of Brightness to Recognize the Stride Motion Frequency . | FRONTIERS IN HUMAN NEUROSCIENCE , 2018 , 12 .
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Finger Exoskeleton for Rehabilitation of Finger Extension and Flexion by Multi-Segment Mechanism EI Scopus CSCD PKU
期刊论文 | 2018 , 52 (6) , 17-22 and 121 | Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
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Aiming at shortcomings of current hand function rehabilitation exoskeleton, such as the complicated mechanism, heavy weight due to the rigid structure, the safety problems caused by the joint misalignment during the rehabilitation movements, and the problem that air source and liquid reservoir of pneumatic and hydraulic exoskeleton greatly increase the size of the whole system, this paper proposes a novel exoskeleton for rehabilitation using a multi-segment mechanism driven by one layer of steel spring to assist both extension and flexion of the finger. The structure has good flexibility to make the interaction between exoskeleton and patients safer. This mechanism can generate enough range of motion with a single input by distributing an actuated linear motion into rotational motions of the finger joints. The experiments show that the exoskeleton can assist patients to flex and stretch their fingers within enough motion ranges and generates sufficient fingertip force. © 2018, Editorial Department of Journal of Southwest Jiaotong University. All right reserved.

Keyword :

Finger flexion Function rehabilitations Linear motion Liquid reservoirs Multi-segment Range of motions Rotational motion Safety problems

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GB/T 7714 Zhu, Shengchen , Li, Min , Xu, Guanghua et al. Finger Exoskeleton for Rehabilitation of Finger Extension and Flexion by Multi-Segment Mechanism [J]. | Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University , 2018 , 52 (6) : 17-22 and 121 .
MLA Zhu, Shengchen et al. "Finger Exoskeleton for Rehabilitation of Finger Extension and Flexion by Multi-Segment Mechanism" . | Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University 52 . 6 (2018) : 17-22 and 121 .
APA Zhu, Shengchen , Li, Min , Xu, Guanghua , Xie, Jun , He, Bo , Zhao, Chenguang et al. Finger Exoskeleton for Rehabilitation of Finger Extension and Flexion by Multi-Segment Mechanism . | Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University , 2018 , 52 (6) , 17-22 and 121 .
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基于聚类优化的非负矩阵分解方法及其应用 CSCD PKU
期刊论文 | 2018 , (6) , 720-725 | 中国机械工程
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Abstract :

针对不断增加的机电系统运行状态信息,传统的特征提取和选择方法已无法满足需求.根据非负矩阵分解典型算法的特点,基于非负矩阵分解的聚类特性,提出了一种面向故障诊断的分解方法.通过分类能力和迭代效率的对比分析,选择了相关性约束和稀疏性约束的改进型交替最小二乘迭代算法,确定了低维嵌入维数及迭代初始化方法,在UCI测试数据集和TEP系统的特征选择应用中验证了该方法的有效性.

Keyword :

聚类 特征选择 迭代算法 非负矩阵分解

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GB/T 7714 栗茂林 , 梁霖 , 陈元明 et al. 基于聚类优化的非负矩阵分解方法及其应用 [J]. | 中国机械工程 , 2018 , (6) : 720-725 .
MLA 栗茂林 et al. "基于聚类优化的非负矩阵分解方法及其应用" . | 中国机械工程 6 (2018) : 720-725 .
APA 栗茂林 , 梁霖 , 陈元明 , 徐光华 , 何康康 . 基于聚类优化的非负矩阵分解方法及其应用 . | 中国机械工程 , 2018 , (6) , 720-725 .
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Enhanced Plasticity of Human Evoked Potentials by Visual Noise During the Intervention of Steady-State Stimulation Based Brain-Computer Interface EI SCIE PubMed
期刊论文 | 2018 , 12 | FRONTIERS IN NEUROROBOTICS
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Neuroplasticity, also known as brain plasticity, is an inclusive term that covers the permanent changes in the brain during the course of an individual's life, and neuroplasticity can be broadly defined as the changes in function or structure of the brain in response to the external and/or internal influences. Long-term potentiation (LTP), a well-characterized form of functional synaptic plasticity, could be influenced by rapid-frequency stimulation (or "tetanus") within in vivo human sensory pathways. Also, stochastic resonance (SR) has brought new insight into the field of visual processing for the study of neuroplasticity. In the present study, a brain-computer interface (BCI) intervention based on rapid and repetitive motion-reversal visual stimulation (i.e., a "tetanizing" stimulation) associated with spatiotemporal visual noise was implemented. The goal was to explore the possibility that the induction of LTP-like plasticity in the visual cortex may be enhanced by the SR formalism via changes in the amplitude of visual evoked potentials (VEPs) measured non-invasively from the scalp of healthy subjects. Changes in the absolute amplitude of P1 and N1 components of the transient VEPs during the initial presentation of the steady-state stimulation were used to evaluate the LIP-like plasticity between the non-noise and noise-tagged BCI interventions. We have shown that after adding a moderate visual noise to the rapid-frequency visual stimulation, the degree of the N1 negativity was potentiated following an similar to 40-min noise-tagged visual tetani. This finding demonstrated that the SR mechanism could enhance the plasticity-like changes in the human visual cortex.

Keyword :

motion-reversal stimulation visual noise plasticity brain-computer interface (BCI) visual evoked potential (VEP)

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GB/T 7714 Xie, Jun , Xu, Guanghua , Zhao, Xingang et al. Enhanced Plasticity of Human Evoked Potentials by Visual Noise During the Intervention of Steady-State Stimulation Based Brain-Computer Interface [J]. | FRONTIERS IN NEUROROBOTICS , 2018 , 12 .
MLA Xie, Jun et al. "Enhanced Plasticity of Human Evoked Potentials by Visual Noise During the Intervention of Steady-State Stimulation Based Brain-Computer Interface" . | FRONTIERS IN NEUROROBOTICS 12 (2018) .
APA Xie, Jun , Xu, Guanghua , Zhao, Xingang , Li, Min , Wang, Jing , Han, Chengcheng et al. Enhanced Plasticity of Human Evoked Potentials by Visual Noise During the Intervention of Steady-State Stimulation Based Brain-Computer Interface . | FRONTIERS IN NEUROROBOTICS , 2018 , 12 .
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Comparison of Visual Cortex Functional Connectivity Patterns Based on Steady-state Monochromatic Flicker and Oscillating Checkerboard Visual Stimulus CPCI-S
会议论文 | 2018 , 732-736 | 15th International Conference on Ubiquitous Robots (UR)
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Steady-state visual evoked potential (SSVEP) and steady-state motion visual evoked potential (SSMVEP) are commonly implemented in brain computer interfaces (BCIs). The primary visual system is believed to consist of two pathways: a ventral pathway involved with conscious perception and a dorsal pathway for moving visual information processing. In this paper, as monochromatic flicker and oscillating checkerboard served as distinct stimuli for the elicit of SSVEP and SSMVEP respectively, we investigated functional connectivity patterns of SSVEP and SSMVEP by applying directed transfer function (DTF) to electroencephalography (EEG) signals. The value of flow gain, which is defined as the ratio of outflow to inflow of information flows in one channel, was used to measure the activating level of specific brain region in the information transmission process. We found that the occipital region was strongly activated by flicker stimulation whereas the strongest response of oscillating checkerboard was in the middle temporal visual region. Owing to the difference of activating area, fourteen-channel canonical correlation analysis (CCA) was also applied to compare the recognition accuracy. Results indicated that, due to the wider area activated by oscillating checkerboard, it achieved a higher recognition performance with short response time when compared to monochromatic flicker.

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GB/T 7714 Han, XingLiang , Xie, Jun , Luo, AiLing et al. Comparison of Visual Cortex Functional Connectivity Patterns Based on Steady-state Monochromatic Flicker and Oscillating Checkerboard Visual Stimulus [C] . 2018 : 732-736 .
MLA Han, XingLiang et al. "Comparison of Visual Cortex Functional Connectivity Patterns Based on Steady-state Monochromatic Flicker and Oscillating Checkerboard Visual Stimulus" . (2018) : 732-736 .
APA Han, XingLiang , Xie, Jun , Luo, AiLing , Xu, GuangHua , Zhang, XiaoDong , Wang, Jing et al. Comparison of Visual Cortex Functional Connectivity Patterns Based on Steady-state Monochromatic Flicker and Oscillating Checkerboard Visual Stimulus . (2018) : 732-736 .
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A review: Motor rehabilitation after stroke with control based on human intent EI SSCI SCIE PubMed Scopus
期刊论文 | 2018 , 232 (4) , 344-360 | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE
WoS CC Cited Count: 5 SCOPUS Cited Count: 5
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Abstract :

Strokes are a leading cause of acquired disability worldwide, and there is a significant need for novel interventions and further research to facilitate functional motor recovery in stroke patients. This article reviews motor rehabilitation methods for stroke survivors with a focus on rehabilitation controlled by human motor intent. The review begins with the neurodevelopmental principles of motor rehabilitation that provide the neuroscientific basis for intuitively controlled rehabilitation, followed by a review of methods allowing human motor intent detection, biofeedback approaches, and quantitative motor rehabilitation assessment. Challenges for future advances in motor rehabilitation after stroke using intuitively controlled approaches are addressed.

Keyword :

human motor intent Stroke rehabilitation neuroplasticity motor rehabilitation brain-computer interface

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GB/T 7714 Li, Min , Xu, Guanghua , Xie, Jun et al. A review: Motor rehabilitation after stroke with control based on human intent [J]. | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE , 2018 , 232 (4) : 344-360 .
MLA Li, Min et al. "A review: Motor rehabilitation after stroke with control based on human intent" . | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE 232 . 4 (2018) : 344-360 .
APA Li, Min , Xu, Guanghua , Xie, Jun , Chen, Chaoyang . A review: Motor rehabilitation after stroke with control based on human intent . | PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE , 2018 , 232 (4) , 344-360 .
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