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Flow Field Simulation and Parameter Analysis of Hydraulic Unbalanced Bionic self-recovery Actuator for Rotary equipment

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Journal of Bionic Engineering 2024年第1期21卷 325-343页

作者： Wei Li Xin Pan Dehong Ge Jinji Gao key laboratory 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

The rotor is the most important component of rotating machinery,and the vibration produced by its mass unbalance has a serious influence on the secure and steady operation of the machine,so an effective online suppression technology is urgently needed.A new hydraulic unbalanced bionic self-recovery system is introduced,imitating the way of manually repairing faulty *** accomplish the effect of actuator mass redistribution,the technology employs pressurized air to drive the quantitative transfer of liquid in the reservoir cavity at opposite *** can complete the online adjustment of the equipment's balancing state and suppress the unbalanced vibration of equipment in real time,which gives the equipment the ability to maintain an autonomous health state and improve equipment *** composition and working principle of the system are introduced in detail,and the key performance parameters,such as the minimum running speed and the balancing liquid transfer speed,are analyzed *** fluid-solid coupling model of the actuator was established,and the two-phase flow from inside the hydraulic unbalanced bionic self-recovery actuator was simulated under multiple working conditions and the performance parameters were quantitatively analyzed.A balancing simulation test bed was built,and its effectiveness was verified by performance parameter tests and unbalanced bionic self-recovery *** experimental results show that the mass distribution adjustment of the balancing disk can be achieved using different viscosity balancing liquid,and the response of liquid viscosity 10 cSt is faster than that of liquid viscosity 100 cSt in the process of balancing liquid transfer,and the time is reduced by more than 75%;the system can reduce the simulated rotor amplitude from 18.3μm to 10.6μm online in real time,which provides technical support for the subsequent development of a new generation of bionic intelligent equipment.

关键词： Engineering self-recovery-Bionics Simulation analysis self-recovery regulation

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Artificial self-recovery Opens up a New Journey of Autonomous health of mechanical equipments

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Engineering 2024年第6期37卷 22-26页

作者： Xin Pan Haoyu Zhang Jinji Gao Weimin Wang Zhinong Jiang Lidong He beijing key laboratory of health monitoring and self-recovery for high-end mechanical equipment Beijing University of Chemical TechnologyBeijing 100029China Engineering Research Center of Chemical Safety Ministry of Education Beijing University of Chemical TechnologyBeijing 100029China

*** With the implementation of modern production strategies,such as“Industry 4.0”and“Made in China 2025,”the development of high-end mechanical equipment is gradually reaching a high degree of parameterization,digitalization,networking,and intelligence[1].high-end mechanical equipment no longer consists of traditional single devices,but is closely linked to the overall production process;that is,a variety of devices interact with each other and collectively form a complex ***,faults can lead to production delays throughout the system and even seriously threaten the safety of workers[2].In addition,equipment operating in unmanned air or space vehicles(including space robots)cannot be repaired by humans if they break down[3].Until recently,the typical method of addressing machine faults was primarily the“fault cure”method,which involves manually shutting down,inspecting,and repairing the equipment to restore normal ***,the maintenance cycle of the traditional“fault cure”method is time-consuming,and the quality of the maintenance depends on the skills of the technician[4].

关键词： collective consuming Open

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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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Transient state analysis of a rub-impact rotor system during maneuvering flight

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Chinese Journal of Aeronautics 2024年第7期37卷 236-251页

作者： Jun WANG Yunfei LIU Zhaoye QIN Liang MA Fulei CHU beijing key laboratory of health monitoring and self-recovery for high-end Machinery equipment Beijing University of Chemical TechnologyBeijing 100029China State key laboratory of Tribology Department of Mechanical EngineeringTsinghua UniversityBeijing 100084China College of Aeronautical Engineering Civil Aviation University of ChinaTianjin 300300China

Maneuvering flight substantially affects the dynamic behavior of rotors;particularly,such flight may cause rubbing between a rotor and stator,which is one of the most serious damages in aircraft *** this paper,a nonlinear dynamic model for describing the dynamic characteristics of a rub-impact rotor system during maneuvering flight is established based on the Lagrange ***,numerical simulations employing the Newmark method are performed,delving into the detailed discussion of the influence of parameters such as rotational speed and maneuvering flight on the transient and steady-state responses of the rotor *** effect mechanism of maneuver load and its coupling with rub impact is *** results show that the impact response induced by maneuvering flight is more obvious in the subcritical state than in the supercritical *** additional stiffness and damping are also induced;in particular,the additional damping has a coupling ***,the rub impact imposes an additional constraint on the rotor system,thereby weakening the influence of the maneuver load and becoming the major factor that determines the dynamic behavior of the rotor system at high speeds.

关键词： Maneuvering flight Rub impact Rotor system Dynamic response Impact response

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A Modified Iterative Learning Control Approach for the Active Suppression of Rotor Vibration Induced by Coupled Unbalance and Misalignment

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Chinese Journal of mechanical Engineering 2024年第1期37卷 242-253页

作者： Yifan Bao Jianfei Yao Fabrizio Scarpa Yan Li College of mechanical and Electrical Engineering Beijing University of Chemical TechnologyBeijing 100029China State key laboratory of high-end Compressor and System Technology Beijing 100029China beijing key laboratory of high-end mechanical equipment health monitoring and self-recovery Beijing University of Chemical TechnologyBeijing 100029China key Lab of Engine health monitoring-Control and Networking of Ministry of Education Beijing University of Chemical TechnologyBeijing 100029China Bristol Composites Institute(ACCIS) University of BristolBristol BS81TRUK Dynamics and Control Research Group(DCRG) University of BristolBristol BS81TRUK

This paper proposes a modified iterative learning control(MILC)periodical feedback-feedforward algorithm to reduce the vibration of a rotor caused by coupled unbalance and parallel *** control of the vibration of the rotor is provided by an active magnetic actuator(AMA).The iterative gain of the MILC algorithm here presented has a self-adjustment based on the magnitude of the *** filters are adopted to extract the synchronous(1×Ω)and twice rotational frequency(2×Ω)components of the rotor *** the notch frequency of the filter and the size of feedforward storage used during the experiment have a real-time adaptation to the rotational *** method proposed in this work can provide effective suppression of the vibration of the rotor in case of sudden changes or fluctuations of the rotor *** and experiments using the MILC algorithm proposed here are carried out and give evidence to the feasibility and robustness of the technique proposed.

关键词： Rotor vibration suppression Modified iterative learning control Unbalance Parallel misalignment Active magnetic actuator

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人工自愈开辟装备自主健康新征程（英文）

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Engineering 2024年第6期 22-26页

作者：潘鑫张皓宇高金吉王维民江志农何立东 beijing key laboratory of health monitoring and self-recovery for high-end mechanical equipment Beijing University of Chemical Technology Engineering Research Center of Chemical Safety Ministry of Education Beijing University of Chemical Technology

1. Introduction With the implementation of modern production strategies, such as ‘‘Industry 4.0” and ‘‘Made in China 2025,” the development of high-end mechanical equipment is gradually reaching a high degree of parameterization, digitalization, networking, and intelligence [1]. high-end mechanical equipment no longer consists of traditional single devices, but is closely linked to the overall production process; that is, a variety of devices interact with each other and collectively form a complex system.

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Time-frequency Feature Extraction Method of the Multi-Source Shock Signal Based on Improved VMD and Bilateral Adaptive Laplace Wavelet

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Chinese Journal of mechanical Engineering 2023年第2期36卷 166-179页

作者： Nanyang Zhao Jinjie Zhang Zhiwei Mao Zhinong Jiang He Li beijing key laboratory of high-end mechanical equipment health monitoring and self-recovery Beijing University of Chemical TechnologyBeijing 100029China

Vibration signals have the characteristics of multi-source strong shock coupling and strong noise interference owing to the complex structure of reciprocating ***,it is difficult to extract,analyze,and diagnose mechanical fault *** accurately extract sensitive features from the strong noise interference and unsteady monitoring signals of reciprocating machinery,a study on the time-frequency feature extraction method of multi-source shock signals is *** the characteristics of reciprocating mechanical vibration signals,a targeted optimization method considering the variational modal decomposition(VMD)mode number and second penalty factor is proposed,which completed the adaptive decomposition of coupled *** at the bilateral asymmetric attenuation characteristics of reciprocating mechanical shock signals,a new bilateral adaptive Laplace wavelet(BALW)is established.A search strategy for wavelet local parameters of multi-shock signals is proposed using the harmony search(HS)method.A multi-source shock simulation signal is established,and actual data on the valve fault are obtained through diesel engine fault *** fault recognition rate of the intake and exhaust valve clearance is above 90%and the extraction accuracy of the shock start position is improved by 10°.

关键词： Shock Signal processing Wavelet VMD Fault diagnosis Diesel engine

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Time Synchronous Averaging Based on Cross-power Spectrum

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Chinese Journal of mechanical Engineering 2023年第2期36卷 198-205页

作者： Ling Wang Minghui Hu Bo Ma Zhinong Jiang key laboratory 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

Periodic components are of great significance for fault diagnosis and health monitoring of rotating *** synchronous averaging is an effective and convenient technique for extracting those ***,the performance of time synchronous averaging is seriously limited when the separate segments are poorly *** paper proposes a new averaging method capable of extracting periodic components without external reference and an accurate period to solve this *** this approach,phase detection and compensation eliminate all segments'phase differences,which enables the segments to be well *** effectiveness of the proposed method is validated by numerical and experimental signals.

关键词： Time synchronous averaging Phase detection Cross-power spectrum Fault diagnosis

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Bionic Artificial self-recovery Enables Autonomous health of Machine

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Journal of Bionic Engineering 2022年第6期19卷 1545-1561页

作者： Gao Jinji key laboratory of beijing for high-end mechanical equipment health monitoring and self-recovery Beijing University of Chemical TechnologyBeijing100029China key laboratory of Engine health monitoring-Control and Networking of Ministry of Education Beijing University of Chemical TechnologyBeijing100029China

This paper explores Engineering self-recoveries theory,which emerged from the research of Bionics to meet the great demand of modern high-risk process manufacturing and the development of aerospace *** opens a new era in which artefact s learn from natural *** the rapid development of the industrial Internet and Artificial intelligence technology,we have gained a deep understanding of the law of fault generation and development,which provides an opportunity for the emergence of Engineering self-recoveries *** self-recoveries expands the research field of Cybernetics and Engineering cybernetics,endows machines with the self-recovery mechanism,which is unique to humans and animals,and enables machines to store,supplement and activate self-recovery power to maintain body *** research on Artificial intelligence has greatly enhanced the function of imitating the human brain,but has ignored the important system and function of humans and animals to maintain their own health—the self-recovery system and self-recovery *** intelligence imitates the conscious thinking control behaviour of the human brain to realize automation and intellectualization,making machines *** self-recovery can imitate the self-recovery mechanism of human unconscious thinking,and prevent and suppress faults in operation to realize self-recovery,possibly making machines *** self-recovery technology includes self-repair,compensation,self-protection and self-recovery *** self-recoveries is the basis of the autonomous health of machines and even artificial systems,and a new research field of *** has broad application prospects in engineering.

关键词： Engineering self-recoveries Bionics Artificial self-recovery Artificial intelligence Fault self-recovery regulation

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Radial electromagnetic type unbalance vibration self-recovery regulation system for high-end grinding machine spindles

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Frontiers of mechanical Engineering 2023年第3期18卷 203-217页

作者： Xin PAN Haoyu ZHANG Jinji GAO Congcong XU Dongya LI beijing key laboratory of health monitoring and self-recovery for high-end mechanical equipment Beijing University of Chemical TechnologyBeijing 100029China Luoyang Bearing Research Institute Corporation Luoyang 471033China

Modern rotating machines,which are represented by high-end grinding machines,have developed toward high precision,intelligence,and high durability in recent *** the core components of grinding machine spindles,grinding wheels greatly affect the vibration level during *** unbalance vibration self-recovery regulation(UVSRR)system is proposed to suppress the vibration of grinding wheels during workpiece processing,eliminating or minimizing the ***,technical principles and the system composition are ***,the balancing actuator in the UVSRR system is analyzed in *** advanced nature of the improved structure is presented through structure introduction and advantage *** performance of the balancing actuator is mutually verified by the theoretical calculation of torque and software *** show that the self-locking torque satisfies the actual demand,and the driving torque is increased by 1.73 times compared with the traditional ***,the engineering application value of the UVSRR system is verified by laboratory performance comparison and actual factory *** balancing speed and effect of the UVSRR system are better than those of an international mainstream product and,the quality of the workpieces machined in the factory improved by 40%.

关键词： SUVSRRR system radial electromagnetic type vibration suppression performance simulation engineering application

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