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11th IFToMM International Conference on Rotordynamics, IFToMM 2023

作者： Gao, Xinyu Bao, Yifan Zhang, Zeliang Yao, Jianfei School of Mechanical and Electrical Engineering Beijing University of Chemical Technology Beijing100029 China Beijing Key Laboratory of Health Monitoring and Self-Recovering for High-End Mechanical Equipment Beijing University of Chemical Technology Beijing100029 China Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education Beijing University of Chemical Technology Beijing100029 China

ISBN: (纸本)9783031404542

This paper describes an active suppression method based on Immersion and Invariance Theory (I&I) for the multi-frequency vibration of rotor in rotating machinery. The approach decomposes the multi-frequency excitation vectorially in Cartesian coordinate system. And the high-order non-linear system is immersed into the low-order system. AMA is used as the actuator in control system. The model of rotor-bearing-AMA system is established, integrating the model of unbalance and misalignment. A zero bias current strategy combined PD-I&I control algorithm is proposed by analyzing the influence of electromagnetic force nonlinearity. An adaptive notch filter is designed to meet the need of multi-speed control and cope with the influence of speed fluctuation. Finally, simulation and experimental research are carried out to verify and analyze the effectiveness of the proposed method to suppress multi-frequency vibration. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Linear systems

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Design and experimental study of active balancing actuator driven by ultrasonic motor

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High Technology Letters 2022年第4期28卷 434-439页

作者： WANG Yangyang PAN Xin GAO Jinji WU Haiqi Beijing Key Laboratory of Health Monitoring and Selfrecovery for Highend Mechanical Equipment Beijing University of Chemical TechnologyBeijing 100029P.R.China Key Laboratory of Engine Health MonitoringControl and Networking of Ministry of Education Beijing University of Chemical TechnologyBeijing 100029P.R.China

The on-line active balancing system can suppress the vibration caused by unbalance of rotating equipment in real time,and is of great strategic significance for high-end equipment in machining,aviation and other *** the core equipment of the on-line active balancing system,the performance parameters of the active balancing actuator determine the overall performance of the balancing *** balancing method of the existing mechanical balancing actuator is improved,and a new active balancing actuator structure based on ultrasonic motor is *** stress distribution of the actuator is analyzed by establishing a three-dimensional model of the *** feasibility and effectiveness of the above structure are verified by the experimental research on the *** results show that the active balancing actuator based on ultrasonic motor can drive the counterweight to complete the required self-locking and stepping actions in the whole *** structural design scheme is *** the same time,it also shows that the actuator can suppress the unbalance vibration of the *** active balancing actuator based on ultrasonic motor drive studied in this paper lays a foundation for the industrial application of this kind of actuator in the future.

关键词： active balancing unbalance vibration control ultrasonic motor

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An Improved Initial Parameter Setting Method for Variational Time-Domain Decomposition

An Improved Initial Parameter Setting Method for Variational...

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2023 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2023

作者： Li, He Zhang, Jiniie Jiang, Zhinong Mao, Zhiwei Beijing University of Chemical Technology Key Laboratory of Engine Health Monitoring Control and Networking Ministry of Education Beijing100029 China Beijing University of Chemical Technology State Key Laboratory of High-end Compressor and System Technology Beijing100029 China

ISBN: (纸本)9798350318012

Effectively decomposing vibration signals is crucial for identifying fault features and evaluating the performance of mechanical systems. Reciprocating mechanical vibration signals typically exhibit complex non-stationary and multi-impact characteristics, posing challenges in signal decomposition. Currently, in response to this issue, the Variational Time-Domain Decomposition (VTDD) method has been proposed to achieve outstanding adaptive impact separation in reciprocating mechanical vibration signals. However, VTDD has limitations in the initial parameter value settings, particularly when dealing with reciprocating mechanical signals under strong noise conditions, which result in slow convergence and less accurate decomposition. To address these limitations, this paper proposes an improved initial parameter value setting method based on a noise threshold-driven impact center estimation algorithm. This method preserves the impacts from vibration signals by estimating the noise threshold, then accurately estimates the number and positions of impacts, which is applied to replace the original VTDD parameter setting approach. Experimental results demonstrate that this improved method delivers excellent decomposition outcomes and applicability for both simulated and real mechanical vibration signals. In summary, by enhancing the initial parameter value setting, the VTDD method performance provides a more reliable tool for vibration signal analysis, especially in the challenging task of recognizing complex impact signals. © 2023 IEEE.

关键词： Domain decomposition methods

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Optimal Design of Novel Electromagnetic-Ring Active Balancing Actuator with Radial Excitation

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Chinese Journal of Mechanical engineering 2021年第1期34卷 142-155页

作者： Xin Pan Xiaotian He Haiqi Wu Chuanlong Ju Zhinong Jiang Jinji Gao Beijing Key Laboratory of Health Monitoring and Self-recovery for High-end Mechanical Equipment Beijing University of Chemical TechnologyBeijing 100029China Key Laboratory of Engine Health Monitoring-Control and Networking(Ministry of Education) Beijing University of Chemical TechnologyBeijing 100029China

Imbalance vibration is a typical failure mode of rotational machines and has significant negative effects on the efficiency,accuracy,and service life of *** automatically reduce the imbalance vibration during the operational process,different types of active balancing actuators have been designed and widely applied in actual ***,the existing electromagnetic-ring active balancing actuator is designed based on an axial excitation structure which can cause structural instability and has low electromagnetic driving *** this paper,a novel radial excitation structure and the working principle of an electromagnetic-ring active balancing actuator with a combined driving strategy are presented in ***,based on a finite element model,the performance parameters of the actuator are analyzed,and reasonable design parameters are ***-locking torque measurements and comparative static and dynamic experiments are performed to validate the self-locking torque and driving efficiency of the *** results indicate that this novel active balancing actuator has sufficient self-locking torque,achieves normal step rotation at 2000 r/min,and reduces the driving voltage by 12.5%.The proposed novel balancing actuator using radial excitation and a combination of permanent magnets and soft-iron blocks has improved electromagnetic efficiency and a more stable and compact structure.

关键词： Rotational machines Imbalance vibration control Active balancing Balancing actuator Finite element analysis

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Real-Time Intelligent Diagnosis of Co-frequency Vibration Faults in Rotating Machinery Based on Lightweight-Convolutional Neural Networks

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Chinese Journal of Mechanical engineering 2024年第2期37卷 264-282页

作者： Xin Pan Xiancheng Zhang Zhinong Jiang Guangfu Bin Beijing Key Laboratory of Health Monitoring and Self-recovery for High-End Mechanical Equipment College of Mechanical and Electrical EngineeringBeijing University of Chemical TechnologyBeijing 100029China Key Laboratory of Engine Health Monitoring-Control and Networking(Ministry of Education) College of Mechanical and Electrical EngineeringBeijing University of Chemical TechnologyBeijing 100029China College of Mechanical Engineering Hunan University of Science and TechnologyXiangtan 411201China

The co-frequency vibration fault is one of the common faults in the operation of rotating equipment,and realizing the real-time diagnosis of the co-frequency vibration fault is of great significance for monitoring the health state and carrying out vibration suppression of the *** engineering scenarios,co-frequency vibration faults are highlighted by rotational frequency and are difficult to identify,and existing intelligent methods require more hardware conditions and are exclusively ***,Lightweight-convolutional neural networks(LW-CNN)algorithm is proposed in this paper to achieve real-time fault *** critical parameters are discussed and verified by simulated and experimental signals for the sliding window data augmentation *** on LW-CNN and data augmentation,the real-time intelligent diagnosis of co-frequency is ***,a real-time detection method of fault diagnosis algorithm is proposed for data acquisition to fault *** is verified by experiments that the LW-CNN and sliding window methods are used with high accuracy and real-time performance.

关键词： Co-frequency vibration Real-time diagnosis LW-CNN Data augmentation

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A Clustering Fault Diagnosis Method for Gas Turbine Performance Parameters Based on t-SNE

A Clustering Fault Diagnosis Method for Gas Turbine Performa...

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2022 Global Reliability and Prognostics and health Management Conference, PHM-Yantai 2022

作者： Miao, Dongyan Liu, Baoxia Li, Zhouzheng Li, Gang Zhang, Peng Feng, Kun Ministry of Education Key Laboratory of Engine Health Monitoring-Control and Networking China Compressor Maintenance Center of North Pipeline Company of PipeChina China Beijing University of Chemical Technology Beijing Key Laboratory of High-End Mechanical Equipment Health Monitoring and Self-Recovery Beijing China

ISBN: (数字)9781665496315

ISBN: (纸本)9781665496315

This paper proposed a clustering method for gas turbine fault diagnosis. Our method is based on t-SNE and focuses on its clustering capability. The goal is to cluster the data of different health states of the same gas turbine to judge the time of failure. In order to strengthen the clustering ability of t-SNE for gas turbine data, we take the time factor into consideration based on the characteristics of the continuity of gas turbine health status. As t-SNE doesn't actually provide class information but returns the results of dimension reduction, we use quick grid clustering to process the dimensionally reduced data and offer clustering results. We design a simulation dataset and demonstrate the effectiveness of our method through multiple experiments. Finally, we also apply this method to a real-world dataset and get a good result. © 2022 IEEE.

关键词： Gas turbines

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Research on Motor Fault Identification Method Based on Vibration Current Multisource Data Fusion and Deep Learning 14

Research on Motor Fault Identification Method Based on Vibra...

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14th IEEE Global Reliability and Prognostics and health Management Conference, PHM-Hangzhou 2023

作者： He, Yiyi Feng, Kun Liu, Baoxia Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education Beijing University of Chemical Technology Beijing100029 China State Key Laboratory of High-end Compressor and System Technology Beijing University of Chemical Technology Beijing100029 China National Pipe Networknorth Company Pipeline Compressor Unit Maintenance Center Beijing University of Chemical Technology Beijing100029 China

ISBN: (纸本)9798350301359

Traditional motor fault diagnosis techniques are usually based on a single type of state parameter. However, the monitoring range of a single type of motor state parameters is very limited, and it is difficult to meet the needs of comprehensive fault diagnosis. The purpose of this paper is to propose a fault diagnosis method for typical AC induction motors by fusing two types of parameters, i. e. vibration data and current data, in order to improve the accuracy of diagnosis. Based on the analysis of the basic faults of typical AC asynchronous motors, this paper studies the methods of motor fault feature extraction, including Fast Fourier Transform (FFT) and Hilbert-Huang Transform (HHT). Then, the method of motor multi-sensor parameter fusion is studied, and the realization scheme of data fusion is designed. Convolutional neural network is constructed as a feature fusion tool. The results of fast Fourier transform (FFT) of current data and Hilbert-Huang transform (HHT) of voltage data of different fault types are input into CNN as fault features, and the deep-seated features are extracted by using CNN's feature extraction ability. Finally, the CNN network series Multilayer perceptron (MLP) was constructed to realize fault classification, and the motor fault identification and fault diagnosis were realized based on the motor vibration and current parameters. The results show that the motor fault diagnosis technology based on data fusion can improve the accuracy of diagnosis results, reduce the uncertainty caused by single parameter, and improve the accuracy of motor fault diagnosis. © 2023 IEEE.

关键词： data fusion deep learning fault diagnosis

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FINITE ELEMENT-BASED COMPRESSION SIMULATION AND PERMEATION PERFORMANCE MEASUREMENT AND control OF HIGH TEMPERATURE SEALING MATERIALS

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UPB Scientific Bulletin, Series D: Mechanical engineering 2023年第2期85卷 103-118页

作者： Chen, Lifang Guo, Yixiang Key Lab of Engine Health Monitoring Control and Networking of Ministry of Education Beijing University of Chemical Technology Beijing100029 China State Key Laboratory of High-end Compressor and System Technology Beijing University of Chemical Technology Beijing100029 China

To obtain the characteristic operational parameters of spacecraft heat seals, a customized tester is used to carry out the structure and performance research of the P-shaped heat seals. A heat-sealing test system is built to simulate real working conditions. The structure and the plan of the tester are optimized based on the finite element thermal analysis method. For different compression rates and pore-opening structures, the leakage rates of the P-shaped seal are tested at room temperature, high temperature, and different air pressures. The test results show that the leakage of the P-shaped sealing ring decreases with the increase of compression rate and the number of openings on the outer high-pressure side. These results are following those of the finite element theoretical analysis. The main control factors that affect the size of seal leakage have been preliminarily determined, and the data obtained from the test has laid the foundation for future research on sealing theory. © 2023, Politechnica University of Bucharest. All rights reserved.

关键词： Seals

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Research on Intelligent Diagnosis of Wear Faults of Centrifugal Pumps Based on Stacked Autoencoder 3

Research on Intelligent Diagnosis of Wear Faults of Centrifu...

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3rd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022

作者： Xiang, Mingsheng Li, Yingli Feng, Kun Beijing University of Chemical Technology Key Laboratory of Engine Health Monitoring-Control and Networking Ministry of Education Beijing China China Petroleum Safety and Environmental Protection Technology Research Institute Beijing China Beijing University of Chemical Technology Beijing Key Laboratory of High-End Mechanical Equipment Health Monitoring and Self-Recovery Beijing China

ISBN: (纸本)9781665492812

Mechanical fault diagnosis is very important in industry because early detection can avoid some dangerous situations, and not much research has been done on the diagnosis of wear faults in centrifugal pumps. With the rapid development of data analysis techniques, data-driven diagnosis methods are becoming increasingly popular. In this study, stacked autoencoder based method is proposed to solve the centrifugal pump seal wear fault diagnosis problem. The method extracts power spectral density features directly from the vibration signal and chunks the features, greatly reducing the training difficulty and improving the accuracy of the model. The effectiveness of the method is verified using a centrifugal pump dataset, and the results show that the method can diagnose not only the fault site but also the degree of wear. © 2022 IEEE.

关键词： power spectral density stacked autoencoder wear failure

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Coupled Effects of Misalignment and Viscoelastic Deformation on Dynamically Loaded Journal Bearings

SSRN

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SSRN 2023年

作者： Xiong, Guoqing Mao, Zhiwei Zhang, Jinjie Wang, Zijia Jiang, Zhinong Key Laboratory of Engine Health Monitoring-Control and Networking Ministry of Education Beijing University of Chemical Technology Beijing100029 China State Key Laboratory of Tribology Tsinghua University Beijing China

Numerous studies on the lubrication characteristics of journal bearings with existing journal misalignment and bearing elastic deformation have demonstrated that both significantly affect the lubrication performance. Recent studies have also indicated that viscoelastic deformation is more useful than elastic deformation for determining the effects of strong impact loads caused by internal combustion engine detonation. However, studies involving the coupled effects of misalignment and viscoelastic deformation have not been reported yet. Therefore, this study proposes a transient lubrication model that couples the influences of journal misalignment and bearing viscoelastic deformation, considering the contact surface morphology and oil film cavitation effects. A numerical model was used to determine the evolution of lubrication performance under a transient time-varying dynamic load, and the coupled influences of misalignment and viscoelastic deformation on the lubrication performance of dynamically loaded journal bearings were systematically explored. The results show that the coupling of journal misalignment and viscoelastic deformation increases the probability of metal-to-metal contact. The difference in the coupling of misalignment and elastic deformation is exhibited in the distribution, amplitude, and occurrence phases of the performance parameters. Increasing the journal speed and applied load significantly enhances the coupled effects of journal misalignment and viscoelastic deformation on the lubrication performance. Under high speeds, heavy loads, and large and rapidly changing impact loads, the coupled effects of misalignment and viscoelastic deformation should be considered. © 2023, The Authors. All rights reserved.

关键词： Dynamic loads

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