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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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Research on the Dynamic Characteristics of high-Speed Rotors Supported by a Double Layer Squeeze Film Damper-Bearing Composite Structure

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IEEE Access 2025年 13卷 92531-92553页

作者： Wang, Wei Wang, Weimin Li, Weibo Wang, Jiale Li, Tianqing Beijing University of Chemical Technology State Key Laboratory of High-end Compressor and System Technology Beijing 100029 China Beijing University of Chemical Technology Beijing Key Laboratory of Health Monitoring and Self-Recovery for High-End Mechanical Equipment Beijing 100029 China

This paper develops a dynamic model for a damper-bearing-rotor system featuring a novel double layer squeeze film damper-bearing composite structure, addressing the limitations of conventional single layer dampers in providing sufficient vibration damping for high-speed advanced mechanical equipment, such as aircraft and rocket engines. A 12-degree-of-freedom Timoshenko beam element was employed to construct a finite element model of the rotor system subjected to unbalanced and nonlinear oil film force excitation. An approach for decreasing the iterative dimension of high-dimensional local nonlinear systems has been devised, which considerably improves the efficiency of transient solutions for dynamic equations. The transient excitation process of an unbalanced rotor with multilayer oil film bearings was analyzed, with the Reynolds equations for dampers and bearings solved using the finite element method. Results indicate that the double layer squeeze oil film damper-bearing composite structure exhibits high stability, excellent impact resistance, and significantly reduces rotor amplitude at high and critical speeds. Double layer squeeze film dampers provide a more obvious vibration suppression benefit and can reduce vibrations more effectively at high speeds than single layer squeeze film dampers. Within the range of 1‰ to 2‰ of the journal radius, increasing the radial clearance of the oil film bearings as well as double layer squeeze film dampers can further reduce the rotor vibration amplitude under high-speed conditions. Additionally, experimental equipment was used to verify all three of these phenomena, and the results of the experiments demonstrated a high degree of agreement with the results of the numerical simulation. © 2013 IEEE.

关键词： Double layer squeeze film dampers journal bearings Newton-Raphson iteration nonlinear transient dynamics

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Nonlinear vibration response analysis and experimental verification of cracked blade based on improved time-varying stiffness

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Zhendong yu Chongji/Journal of Vibration and Shock 2025年第13期44卷 258-265页

作者： Wang, Hanyi Feng, Kun Li, Zeji Li, Yingli Xiao, Yuan State Key Laboratory of High-end Compressor and System Technology Beijing University of Chemical Technology Beijing 100029 China The University of Hong Kong 999077 Hong Kong CNPC Research Institute of Safety & Environment Technology Beijing 102206 China

The crack fault on the blade is a threat to the safe operation of the power machinery equipment such as aeroengine. It is of great significance to check the nonlinear vibration caused by the crack to ensure the safety of the engine. Many studies have used time-varying stiffness to study the nonlinear vibration of cracked blades, but the nonlinear vibration of cracked blades described by the traditional time-varying stiffness is not completely accurate. To solve this problem, an improved analytical expression of time-varying stiffness based on cosine function is proposed. The logarithmic spectrum and comprehensive nonlinear index (NLI) are established to study the nonlinear vibration response of cracked blades. Then the vibration excitation experiments are carried out on the blades with different degrees of crack, and the analytical expression of the improved time-varying stiffness is further improved according to the experimental results. The results show that the time-varying stiffness significantly affects the nonlinear vibration form of the blade, and there are high order harmonic frequency components related to the stiffness variation frequency in the spectrum. Combined with logarithmic spectrum and synthetic nonlinear index, the effectiveness of the improved time-varying stiffness can be proved, which is more consistent with the measured results than before the improvement. © 2025 Chinese Vibration Engineering Society. All rights reserved.

关键词： Breathing effect Cracked blade Nonlinear response Time-varying stiffness

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Mechanical impact signal extraction method based on time-frequency reassigned multisynchrosqueezing transform

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Measurement Science and technology 2025年第5期36卷

作者： Cheng, Hao Zhang, Xiao Liu, Miaoer Chen, Tuanhai Zhang, Jinjie Yang, Jiayi Zhang, Yue CNOOC Key Laboratory of Liquefied Natural Gas and Low Carbon Technology Beijing China CNOOC Gas and Power Group Beijing China State Key Laboratory of High-end Compressor and System Technology Beijing University of Chemical Technology Beijing China

Adaptive decomposition methods for vibration signals have predominantly concentrated on the extraction of fault frequency components in rotational machinery, often overlooking the time-domain impact characteristics of reciprocating machinery. These methods struggle to effectively isolate the periodic, multi-source impact features of reciprocating machinery faults, such as those induced by valve opening or closing, and connecting rod bearing wear. To address the non-stationary, strongly coupled, and interference-prone time-frequency characteristics of casing vibration signals in reciprocating machinery, this study proposes a novel adaptive decomposition method tailored for multi-impact signal analysis. The approach leverages the time-frequency reassigned multisynchrosqueezing transform to enhance the representation of impacts in the time-frequency domain. An optimization criterion based on the squared L2-norm of time-frequency spectral moments is formulated to accurately locate the energy centroids of decomposed components. A recursive decomposition framework is introduced, eliminating the need to predefine decomposition levels while simultaneously improving computational efficiency. To further refine decomposition accuracy, a weight factor optimization strategy employing a q-order time-frequency distance metric is developed to adaptively shape decomposition windows according to impact characteristics. Validation on both simulated and experimental datasets involving diesel engine valve clearance faults demonstrates that the proposed method significantly improves the precision of adaptive impact component extraction and offers enhanced computational performance. © 2025 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.

关键词： Bearings (machine parts)

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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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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： Hu, Ming-Hui Jin, Bao-teng Liu, Shao-Peng Wang, Wei-Min Jiang, Zhi-Nong Zhang, Xiao-Yang Gao, Jin-ji State Key Laboratory of High-end Compressor and System Technology 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 Beijing Key Laboratory of Health Monitoring and Self-Recovery for High-End Mechanical Equipment Beijing University of Chemical Technology Beijing100029 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 ΔUBF, and the highest ΔUBF 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 9th s

关键词： Rotating machinery

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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 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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