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A novel rotor dynamic balancing method based on blade tip clearance measurement without the once per revolution sensor

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Chinese Journal of Aeronautics 2025年第2期38卷 445-458页

作者： Weibo LI Weimin WANG Shuai ZHANG Jiale WANG Yulong LIN Tianqing LI Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education Beijing University of Chemical TechnologyBeijing 100029China State Key Laboratory of High-end Compressor and System Technology Beijing University of Chemical TechnologyBeijing 100029China

The existence of the aeroengine casing,limited monitoring points,and multi-fault characteristics make obtaining the rotor’s vibration transmission characteristics challenging,resulting in difficulties accurately identifying the rotor *** paper utilizes a high-frequency composite sensor to monitor the engine’s blade tip clearance(BTC)and extracts unbalanced information from BTC signals for rotor dynamic balancing,while avoiding the need for the once per revolution(OPR)***,the vibration characteristics of the rotor-blade system under multi-fault conditions are ***,based on BTC measurement,a none OPR method and an unbalance identification method are proposed,in which the radial vibration of the blade tip in the BTC signals at different speeds is extracted and operated in the time domain to obtain the rotor unbalanced vibration,the signal is reconstructed,and cross-correlation analysis is used to accurately identify the magnitude and phase of the unbalanced ***,a rotor test bench is utilized for experimental *** results reveal that the dynamic balancing method based on the BTC signal can more precisely identify the rotor unbalance than the traditional rotor dynamic balancing *** application of this technique will effectively improve engine health management and fault prediction.

关键词： Aeroengine Rotor unbalance Composite sensor None once per revolution Blade tip clearance Dynamic balancing

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Study on Dynamic Characteristics of Single-Span Rotor Under Cross-Coupling Stiffness Control on Nondrive end

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Journal of Engineering for Gas Turbines and Power 2025年第7期147卷 071005页

作者： Ma, Yuhang Li, Qihang Yang, Bowen Zhang, Rui Wang, Weimin Yao, Jianfei Beijing Key Laboratory of Health Monitoring and Self-Recovery for High-End Mechanical Equipment Beijing University of Chemical Technology 15 Beisanhuan East Road Chaoyang District Beijing100029 China State Key Laboratory of High-End Compressor and System Technology Beijing University of Chemical Technology 15 Beisanhuan East Road Chaoyang District Beijing100029 China

The sealing-induced cross-coupling stiffness (CCS) often decreases the rotordynamic stability of turbomachinery. In our previous study, an active negative CCS control strategy applied between two bearings in the middle of the rotor was validated to enhance the stability of the rotor system. In this paper, a different approach was taken by applying both positive and negative CCS control strategies to the nondrive end, aiming to investigate their effects on rotordynamic stability using a rotordynamic model. The model represented a single-span centrifugal compressor rotor with CCS at the seal node. The logarithmic decrements and unbalance response of the rotor system were compared under different CCS applications at the nondrive end and in the span. The results demonstrate that applying both positive and negative CCS at the nondrive end can improve system stability, but the positive CCS strategy has limitations, and its applicability is not as extensive as negative CCS. A "critical stiffness"phenomenon emerges when the rotor system is actively stabilized at the nondrive end, resembling critical resonance. Furthermore, when components like seals introduce cross-coupling stiffness out of the span, they contribute to system stabilization. These findings provide valuable insights into actively enhancing the stability of rotor systems. © 2025 by ASME.

关键词： Centrifugal compressors

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Study on the influence of oil-gas pressure difference on diaphragm in diaphragm compressor 9

Study on the influence of oil-gas pressure difference on dia...

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2024 9th International Seminar on Computer technology, Mechanical and Electrical Engineering, ISCME 2024

作者： Li, Fengyu Liu, Xiaoming Liu, Zhilong Yu, Yang State Key Laboratory of High-end Compressor and System Technology Hefei General Machinery Research Institute Co. Ltd Hefei230031 China

—As one of the main components of hydrogen refueling stations, the diaphragm hydrogen compressor is an important equipment supporting the development of hydrogen energy in China. Currently, the diaphragm hydrogen compressor is facing a significant demand for improving reliability. The diaphragm is one of the vulnerable parts in diaphragm hydrogen compressors, mainly affected by the difference between hydraulic oil pressure and hydrogen pressure, which deforms and compresses hydrogen gas to achieve the operation of diaphragm hydrogen compressors. This study selected the oil gas pressure difference as the independent variable and conducted simulation research on the variation laws of equivalent stress and axial deformation of the diaphragm. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Diaphragms

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A zero-fault sample diesel engine early warning and localisation method based on multi-cylinder similarity and memory augmentation

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Expert systems with Applications 2025年 284卷

作者： Mo, Hangfeng Ji, Shude Chen, Shenxiao Wang, Zijia Jiang, Zhinong Mao, Zhiwei Key Laboratory of Engine Health Monitoring-Control and Networking 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 Tianjin300400 China State Key Laboratory of Tribology in Advanced Equipment Tsinghua University Beijing10084 China

Diesel engines often present challenges in achieving efficient warning and accurate localisation during actual operation due to complex working conditions and the lack of fault samples. To address this issue, this paper proposes a zero-fault sample anomaly warning and localisation method for diesel engines, which is based on multi-cylinder similarity and memory augmented autoencoder. This approach allows for model training without the use of fault samples, a method that has been scarcely explored in industrial research concerning diesel engine fault diagnosis using only normal samples. The method leverages the similarities in operating states among multiple cylinders and constructs a joint similarity matrix by integrating waveform similarity and impact energy similarity. This approach captures the intrinsic correlation characteristics among the cylinders and effectively mitigates the influence of changes in operating conditions on diagnostic performance. Additionally, a memory augmentation autoencoder is employed to model normal samples. By amplifying the reconstruction error of abnormal data, the method facilitates fault warning and localisation even in the absence of fault samples. Experimental results demonstrate that the proposed method can successfully achieve early fault warning and localisation under both single and cross-operating conditions without requiring fault samples, thereby providing an effective solution for early fault detection and intelligent maintenance of diesel engines. © 2025 Elsevier Ltd

关键词： Industrial research

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Optimization design and experiment of a double-suction centrifugal fan with flow physics analysis

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Physics of Fluids 2025年第2期37卷

作者： Liu, Ruifeng Zhang, Wei Yang, Hui Wei, Yikun Zhejiang Key Laboratory of Multiflow and Fluid Machinery Zhejiang Sci-Tech University Zhejiang Hangzhou310018 China Co. Ltd State Key Laboratory of High-end Compressor and System Technology Hefei General Machinery Research Institute Co. Ltd. Anhui Hefei230031 China

This work performed a multi-objective aerodynamic optimization on a double-suction centrifugal fan with multiple forward-curved blades used in ventilation. The baseline fan was modified from a mass-product model with single-arc blades. The backpropagation neural network was employed as the surrogate model. The fan's static pressure rise (Ps) and efficiency (ηs) are chosen as objectives and are optimized by the nondominated sorting genetic algorithm (NSGA-II). The optimization performance was validated through simulation and experiment tests. At the design flow rate of 480 m3/h, the Ps and ηs are improved by 30.25 Pa (44.09%) and 5.70%, respectively, compared with the baseline model, and the improvement is notable at off-design flow rate conditions, as revealed by the experimental data. The choking flow rate increases from 931 m3/h of the baseline model to 1033 m3/h and 981 m3/h of the two optimized models. The following large-eddy simulation investigation indicates that for the optimized models, the recirculating vortices in the blade passages are notably diminished, and the velocity fluctuation is reduced;the velocity distribution gets uniform at the impeller outlet with significantly weakened reversed flow. A sensitivity analysis based on Sobol' indices demonstrates that the blade number significantly determines the fan performance, followed by the volute's pitch and the blade outlet installation angle. © 2025 Author(s).

关键词： Sensitivity analysis

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A novel rotor dynamic balancing method based on blade tip clearance measurement without the once per revolution sensor

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Chinese Journal of Aeronautics 2025年第02期 449-462页

作者： Weibo LI Weimin WANG Shuai ZHANG Jiale WANG Yulong LIN Tianqing LI Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education Beijing University of Chemical Technology State Key Laboratory of High-end Compressor and System Technology Beijing University of Chemical Technology

The existence of the aeroengine casing, limited monitoring points, and multi-fault characteristics make obtaining the rotor's vibration transmission characteristics challenging, resulting in difficulties accurately identifying the rotor unbalance. This paper utilizes a high-frequency composite sensor to monitor the engine's blade tip clearance(BTC) and extracts unbalanced information from BTC signals for rotor dynamic balancing, while avoiding the need for the once per revolution(OPR) sensor. First, the vibration characteristics of the rotor-blade system under multi-fault conditions are investigated. Then, based on BTC measurement, a none OPR method and an unbalance identification method are proposed, in which the radial vibration of the blade tip in the BTC signals at different speeds is extracted and operated in the time domain to obtain the rotor unbalanced vibration, the signal is reconstructed, and cross-correlation analysis is used to accurately identify the magnitude and phase of the unbalanced signal. Finally, a rotor test bench is utilized for experimental verification. The results reveal that the dynamic balancing method based on the BTC signal can more precisely identify the rotor unbalance than the traditional rotor dynamic balancing method. The application of this technique will effectively improve engine health management and fault prediction.

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UNIfied Conference of International Workshop on Defence Applications of Multi-Agent systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering Network, TEPEN 2023

作者： Xiao, Yuan Feng, Kun State Key Laboratory of High-End Compressor and System Technology Beijing University of Chemical Technology Beijing100029 China

ISBN: (纸本)9783031494123

Effective fault characteristic extraction is crucial for the diagnosis of gearbox bearing. Minimum entropy deconvolution (MED) is a popular method for fault feature extraction. However, the deconvolution results are sensitive to the choice of inverse filter parameters. To overcome this limitation, an adaptive minimum entropy deconvolution (AMED) is proposed. AMED searches for the optimal filter length when the energy proportion of the fault-related features in the vibration signal is highest. In addition, this paper explores the use of autocorrelation of the envelope signal to further strengthen the fault characteristic frequencies in the signal. The properties of autocorrelated envelopes is integrated with the AMED approach to develop a novel weak bearing fault diagnosis method. Simulation and experimental results validate that the proposed method is effective in enhancing the weak features of the bearing associated with the failure, and a comparison with several existing methods demonstrates the advantages of the proposed method. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Failure analysis

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Fault diagnosis method for blade fracture of gas turbine based on casing vibration

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Mechanical systems and Signal Processing 2025年 234卷

作者： Ming-Hui Hu Bao-teng Jin Shao-Peng Liu Wei-Min Wang Zhi-Nong Jiang Xiao-Yang Zhang Jin-ji Gao State Key Laboratory of High-end Compressor and System Technology Beijing University of Chemical Technology Beijing 100029 China Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education Beijing University of Chemical Technology Beijing 100029 China Beijing Key Laboratory of Health Monitoring and Self-Recovery for High-End Mechanical Equipment Beijing University of Chemical Technology Beijing 100029 China National Key Laboratory of Internal Combustion Engines and Power Systems Weichai Power Co. Ltd. China

Blade fracture is one of the most difficult faults to diagnose in rotating machinery. Most gas turbines can only measure casing vibration rather than directly measuring blade vibration with other sensors, making monitoring and diagnosing such faults more challenging. Research on vibration characteristics and fault diagnosis methods of blade fracture is critical to ensure the safe and reliable operation of gas turbines. The current paper presents a new method to monitor the blade fracture faults from the vibration signal of the casing. Firstly, based on the function mechanism of blade wake excitation forces, the transfer path of the vibration response of gas turbine blades and the variation rule of the wake excitation force have been investigated. Then, based on the casing vibration response model, we analyzed the dynamic evolution of vibration response in the pre- and post-fracture stages of rotor blade failure. The results indicate that the response characteristics of velocity RMS, blade passing frequency (BPF), and fundamental frequency can effectively characterize blade fracture faults. Secondly, based on the vibration-sensitive characteristics of blade fracture faults, we propose an Improved Ordered Cluster Analysis (IOCA) identification method. Considering that the blade fracture can decrease the BPF amplitude and lead to the appearance of side-frequency bands. We propose a Fault Localization Estimation (FLE) method, which constructs a fracture localization factor called Δ U BF , and the highest Δ U BF value corresponds to the stage where the blade fracture has appeared. Finally, A fault diagnosis scheme for gas turbine blade fracture based on casing vibration is proposed. An engineering case of a gas turbine blade fracture fault is analyzed. The results show that the proposed method can timely and effectively diagnose the gas turbine blade fracture fault from the vibration signal of the casing. They can further localize the blade fracture fault at the 8th and

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Prediction of Coefficient of Restitution for Impact Elastoplastic Spheres Considering Finite Plate Thickness

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Chinese Journal of Mechanical Engineering 2024年第4期37卷 183-193页

作者： Yunfeng Fan Hao Wang Tao Zhou Limin Zou Zhinong Jiang Minghui Hu State Key Laboratory of High-end Compressor and System Technology Beijing University of Chemical TechnologyBeijing 100029China China Ship Research and Development Academy Beijing 100101China Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education Beijing University of Chemical TechnologyBeijing 100029China Beijing Key Laboratory of High-End Mechanical Equipment Health Monitoring and Self-Recovery Beijing University of Chemical TechnologyBeijing 100029China

Collisions between objects are a relatively common phenomenon in *** of collision processes can greatly contribute to solving problems such as impact-rub faults and particle *** coefficient of restitution is a critical parameter in the analysis of collision *** experiments have shown that the coefficient of restitution is closely related to the plate thickness,and the smaller the plate thickness,the more inaccurate the coefficient of restitution predicted by the existing model,which seriously affects the process of collision *** remedy this shortcoming,this paper proposes a plate thickness influence factor with the ratio of sphere diameter to plate thickness as the *** plate thickness influence factor can optimize the coefficient of restitution model to effectively predict the coefficient of restitution of impacting elastoplastic spheres with finite plate ***,the validity of the new model is verified using a large amount of experimental data.

关键词： Collision Coefficient of restitution Energy loss Sphere

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An Unbalance Identification Method of a Whole Aero-Engine Based on the Casing Vibrations 11th

An Unbalance Identification Method of a Whole Aero-Engine Ba...

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11th IFToMM International Conference on Rotordynamics, IFToMM 2023

作者： Wang, Weimin Wang, Jiale Li, Qihang Beijing Key Laboratory of Health Monitoring and Self-Recovery for High-End Mechanical Equipment Beijing University of Chemical Technology Beijing100029 China State Key Laboratory of High-End Compressor and System Technology Beijing China

ISBN: (纸本)9783031404580

Squeeze film dampers (SFDs) have been frequently employed in aero-engines due to their excellent vibration reduction performance. However, their nonlinear characteristics make it difficult for traditional balancing methods to achieve efficient vibration suppression. In addition, because of the harsh condition and restricted space inside the casing, sensors are only able to be installed on the surface of the casing to evaluate the operational state of an aero-engine. Therefore, it is vital to propose an unbalance identification method of a whole aero-engine with SFDs. In this paper, the equivalent unbalance calculation equation, which takes the vibration transfer characteristics of the casing, nonlinear oil film forces, the flexible support and gyroscopic moments into account, is derived by decoupling the differential equation of rotor motion in modal coordinates. The equivalent unbalance distribution of the rotor is generated by solving very ill-conditioned linear equations produced by modal parameters. Finally, a nonlinear unbalance identification method based on casing vibrations is developed. By establishing a whole aero-engine dynamics model, simulation is used to verify the accuracy of this unbalance identification method. The results show that, when the high Pressure rotor has unbalance alone, the vibration reduction rates for the aero-engine rotor system are no less than 93%. For the condition that HP and LP rotors are unbalanced at the same time, using the excitation source separation method proposed in this paper, the balancing effects are also very significant. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Nonlinear equations

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