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

作者： Ouyang, Bing Zhang, Chao Wu, Le Liu, Guiyi Wu, Yangbiao Xu, Shuai School of Mechanical Engineering Inner Monglia University of Science and Technology Baotou014010 China Inner Monglia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System Baotou014010 China

ISBN: (纸本)9783031734069

This paper presents a novel solution for bearing fault diagnosis based on a Broad Learning system with multi-domain feature selection. Currently, the diagnosis of bearing faults is beset with numerous challenges, including operation under complex and fluctuating conditions, the subtlety of early fault indicators, noise interference in measurement signals, variations in operational conditions, and a broad spectrum of potential fault types. These factors collectively contribute to the complexity of accurately identifying and classifying bearing faults. The Broad Learning system introduced in this paper, by integrating multi-domain feature selection, enhances the model's capability to extract and utilize relevant features from noisy or incomplete data, potentially increasing diagnostic accuracy in suboptimal sensor environments. By leveraging features across multiple domains, the method based on the Broad Learning system can capture a wider array of fault characteristics, thereby broadening its applicability across various types of bearing faults and operational conditions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Roller bearings

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Bearing Fault diagnosis Based on an Improved Morphological Filter

Bearing Fault Diagnosis Based on an Improved Morphological F...

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

作者： Ren, Xueping Guo, Liangjian Qiu, Fuqiang Liu, Tongtong School of Mechanical Engineering Inner Monglia University of Science and Technology Baotou014010 China Inner Monglia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System Baotou014010 China

ISBN: (纸本)9783031734069

Extraction of repetitive shock signals from vibration signals is crucial in bearing fault detection. Morphological filtering can extract the signal components based on the geometric features of the signal. In this paper, we propose an improved morphological filter for extracting fault cycle pulses from vibration signals in the time domain. Morlet wavelets are used as the main waveforms of the structural elements, which guide the construction of the structural elements based on their correlation with the defect-induced pulse, the Teager energy operator (TEO) is used to reduce the modulated signal interference. The improved morphological filtering algorithm can obtain fault features from low signal-to-noise ratio signals. The processing results of one simulated signal and two sets of experimental signals verify the effectiveness and robustness of the method. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Wiener filtering

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Fault diagnosis of Rolling Bearings Under Variable Speed Conditions Based on Order Analysis

Fault Diagnosis of Rolling Bearings Under Variable Speed Con...

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

作者： Liu, Guiyi Zhang, Chao Wu, Le Liu, Tongtong Ouyang, Bing School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System Baotou014010 China

ISBN: (纸本)9783031702341

To address the issue of bearing fault diagnosis without speed signal, a phase-ratio analysis method based on speed tracking is proposed. Firstly, the Short-Time Fourier Transform (STFT) is employed to obtain a time-frequency map. Then, the rotation frequency is calculated based on the parameters of the bearings, as well as the speed range. Subsequently, the speed matching tracking method is utilized to track the rotation frequency from the time-frequency map, followed by linear fitting and resampling to approximate the speed signal. Finally, the obtained signal is angularly sampled and subjected to FFT spectral analysis to obtain the order ratio spectrum. Based on the features of the order ratio spectrum, bearing faults are diagnosed. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Roller bearings

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Synchronous Binocular Visible Light Parallax Map for Face Detection 7

Synchronous Binocular Visible Light Parallax Map for Face De...

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7th International Conference on Information Science and control Engineering, ICISCE 2020

作者： Zhang, Wen Xing Yang, Zhen Kai Liu, Wen Jing Wang, Jian Guo Inner Mongolia University of Science and Technology School of Mechanical Engineering Baotou China Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic Systems Baotou China

ISBN: (纸本)9781728164069

In the binocular vision system, the parallax image is different when the real face of the three-dimensional structure is viewed from different viewing angles, while the face in photos and videos is flat or the planar structure is the same when viewed from different angles, so it is proposed A new method that uses a manual face binocular disparity map made by a synchronized binocular visible light camera combined with a convolutional neural network (convolutional neural network, CNN) to achieve two classifications. First, the Harr cascade classifier is used to extract faces in binocular images at the same time, and the extracted partial faces are made into a data set;then, the disparity map form that meets the experimental hypothesis is proposed and analyzed;finally, the ResNet18 network is used to compare different methods Binocular live body detection solution for human face. The accuracy rate of 99.12% is achieved on the self-made data set in the laboratory, and it has a good resistance to facial attacks on photos and videos. The results show that the method has a small amount of data, low hardware cost and good robustness to human faces due to changes in light and angle. © 2020 IEEE.

关键词： Binocular vision

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Rolling Bearing Remaining Useful Life Prediction Based on Wiener Process

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Journal of Dynamics, Monitoring and Diagnostics 2022年第4期1卷 229-236页

作者： Wentao Zhao Chao Zhang Shuai Wang Da Lv Oscar García Peyrano School of Mechanical Engineering Inner Mongolia University of Science and TechnologyBaotou 014010China Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System Baotou 014010China Cuyo University San Carlos de BarilocheArgentina

Rolling bearing is the key part of mechanical *** prediction of bearing life can reduce maintenance costs,improve availability,and prevent catastrophic consequences,aiming at solving the problem of the nonlinear,random and small sample problems faced by rolling bearings in actual operating *** this work,the nonlinearWiener process with random effect and unbiased estimation of unknown parameters is used to predict the remaining useful life of rolling ***,random effects and nonlinear parameters are added to the traditional Wiener process,and a parameter unbiased estimation method is used to estimate the positional parameters of the constructed Wiener ***,the model is validated using a common set of bearing *** results show that compared with the traditional maximum likelihood function estimation method,the parameter unbiased estimation method can effectively improve the accuracy and stability of the parameter estimation *** model has a good fitting effect,which can accurately predict the remaining useful life of rolling bearing.

关键词： parameter estimation remaining useful life rolling bearing Wiener process

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Study on Diamond Nv Color Core Fluorescence Enhanced by Diamond-Like Gradient Reduced Reflection Film

SSRN

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SSRN 2024年

作者： Tan, Xin Du, Yanlong Li, Jiachang He, Zhanqing Cang, Lei Pang, Tianning Qi, Hui School of Mechanical Engineering Inner Mongolia University of Science & Technology PR Baotou014010 China Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System PR Baotou014010 China

The diamond nitrogen vacancy center, as the most common diamond defect, is widely used in fields such as quantum communication and biological fluorescence labeling. However, there is a significant refractive index difference between diamond and air at the interface, leading to low fluorescence collection efficiency. To address this issue, this paper proposes depositing a diamond-like gradient anti-reflection coating on the surface of diamond to increase light transmission, thereby enhancing the fluorescence of diamond nitrogen vacancy centers. Based on the finite-difference time-domain method, the paper simulates the form of refractive index distribution, thickness, and number of layers of the membrane to observe their effects on the transmittance, reflectance, and fluorescence collection efficiency of the thin film. This aims to reveal the mechanism of how the gradient anti-reflection coating enhances the fluorescence of diamond NV centers. Further, the microwave plasma chemical vapor deposition method is utilized to deposit the gradient anti-reflection coating on the surface of diamond. The research found that by adding the anti-reflection coating, the maximum reflectance can be reduced by around 10 times, and the fluorescence of NV0 and NV- centers is enhanced by approximately 15.6 times and 18.3 times, respectively. © 2024, The Authors. All rights reserved.

关键词： Diamonds

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Synchronous Binocular Visible Light Parallax Map for Face Detection

Synchronous Binocular Visible Light Parallax Map for Face De...

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International Conference on Information Science and control Engineering (ICISCE)

作者： Wen Xing Zhang Zhen Kai Yang Wen Jing Liu Jian Guo Wang School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou China Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic Systems Baotou China

In the binocular vision system, the parallax image is different when the real face of the three-dimensional structure is viewed from different viewing angles, while the face in photos and videos is flat or the planar structure is the same when viewed from different angles, so it is proposed A new method that uses a manual face binocular disparity map made by a synchronized binocular visible light camera combined with a convolutional neural network (convolutional neural network, CNN) to achieve two classifications. First, the Harr cascade classifier is used to extract faces in binocular images at the same time, and the extracted partial faces are made into a data set; then, the disparity map form that meets the experimental hypothesis is proposed and analyzed; finally, the ResNet18 network is used to compare different methods Binocular live body detection solution for human face. The accuracy rate of 99.12% is achieved on the self-made data set in the laboratory, and it has a good resistance to facial attacks on photos and videos. The results show that the method has a small amount of data, low hardware cost and good robustness to human faces due to changes in light and angle.

关键词： Costs Resists Hardware Robustness Convolutional neural networks Data mining Synchronization

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Fault diagnosis of gearbox based on improved polynomial adaptive chirp mode decomposition algorithm

Research Square

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Research Square 2021年

作者： Cui, Lingli Peng, Yuchuan Liu, Tongtong Key Laboratory of Advanced Manufacturing Technology Beijing University of Technology Chao Yang District Beijing100124 China Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic Systems Inner Mongolia University of Science and Technology Baotou014010 China

The adaptive chirp mode decomposition (ACMD) has good time-frequency representation results in analyzing chirp signals, while there is a time-frequency ambiguity problem in the analysis of variable speed planetary gearbox vibration signals. To address this problem, a planetary gearbox fault diagnosis method based on improved polynomial adaptive chirp mode decomposition wavelet is proposed (IPACMD). Using Adaptive chirp mode decomposition, the amplitude and instantaneous frequency of multiple signal components are estimated;To avoid overdecomposition to generate spurious signal components, the similarity conditional entropy is used to optimize the adaptive chirp mode decomposition threshold;The polynomial chirp transform (PCT) using a polynomial function instead of the linear chirp kernel in the chirp transform to improve the time-frequency aggregation of the instantaneous frequency curve of each signal component and output high-resolution time-frequency representation results. Compared with the original method, the proposed method has better time-frequency aggregation and is more effective for the analysis of variable speed planetary gearbox vibration signals. The simulation and experimental study results show that the method can effectively identify the frequency components and time-frequency characteristics of the variable-speed planetary gearbox vibration signal and realize the fault diagnosis of the planetary gearbox. © 2021, CC BY.

关键词： Mode decomposition

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Research on fault diagnosis of planetary gearbox based on Variable Multi-Scale Morphological Filtering and improved Symbol Dynamic Entropy

Research Square

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Research Square 2021年

作者： Liu, Tongtong Cui, Lingli Zhang, Jianyu Zhang, Chao Key Laboratory of Advanced Manufacturing Technology Beijing University of Technology Chao Yang District Beijing100124 China Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic Systems Inner Mongolia University of Science and Technology Baotou014010 China

Under complex working conditions with noise interference, the fault feature of planetary gearbox is difficult to be extracted and the fault mode is difficult to be identified. To tackle this problem, the technologies of Variable Multi-scale Morphological Filtering (VMSMF) and Average Multi-scale Double Symbolic Dynamic Entropy (AMDSDE) are proposed in this paper. VMSMF selects Chebyshev Window as the structural element and automatically selects the optimal scale parameters according to the signal characteristics of the planetary gearbox, which improves the filtering accuracy and calculation efficiency. AMDSDE fully considers the correlation between various state modes. Once combined with relevant knowledge of Mathematical statistics, the algorithm can effectively reduce misjudgment. Firstly, the Turn Domain Resampling (TDR) is used to transform the time domain signal of variable speed into the angle domain signal that is not affected by speed change. Secondly, the proposed VMSMF is used to de-noise the vibration signal, and the fault signal with a high signal-to-noise ratio is obtained. Finally, AMDSDE is used to extract the entropy value of the fault signal and judge the fault type. The proposed technology is verified by four kinds of signals collected from the sun gear of the planetary gearbox under non-stationary working conditions. © 2021, CC BY.

关键词： Pattern recognition

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Dynamic Analysis of the Tapered Roller Bearings Driven by Digital Twin

SSRN

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SSRN 2024年

作者： Zhao, Wentao Zhang, Chao Wang, Jianguo Gu, Fengshou Peyrano, Oscar García Wang, Shuai Lv, Da School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou China Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System Baotou China Centre for Efficiency and Performance Engineering University of Huddersfield HuddersfieldHD1 3DH United Kingdom Balseiro Institute Cuyo University San Carlos de Bariloche Argentina

The article suggests a technique that utilizes digital twins to analyze the dynamic properties of tapered roller bearings. Developing digital twin of bearings requires a thorough analysis of multiple aspects like radial clearance, temperature, lubrication, centrifugal force, flexible body, and mixed load. By comparing the results of advanced dynamic models, it has been noticed that the simulation results of digital twins more closely resemble the real operating condition of bearings. In addition, the study findings on dynamic properties exhibit a greater degree of precision and dependability. The dynamic properties of bearings are significantly influenced by radial clearance. The results indicate that the use of digital twin technology provides a new method for studying the changing properties of bearings. © 2024, The Authors. All rights reserved.

关键词： Rollers (machine components)

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