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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

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

A method to compress vibration signals using wavelet packet transformation combined with sub-band vector quantization

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High Technology Letters 2013年第4期19卷 443-448页

作者：翁浩 Gao Jinji jiang zhinong Diagnosis and Self-recovery Engineering Research Center Beijing University of Chemical Technology

A novel compression method for mechanical vibrating signals,binding with sub-band vector quantization(SVQ) by wavelet packet transformation(WPT) and discrete cosine transformation(DCT) is ***,the vibrating signal is decomposed into sub-bands by *** DCT and adaptive bit allocation are done per sub-band and SVQ is performed in each *** is noted that,after DCT,we only need to code the first components whose numbers are determined by the bits allocated to that *** an actual signal,our algorithm is proven to improve the signal-to-noise ratio(SNR) of the reconstructed signal effectively,especially in the situation of lowrate transmission.

关键词： vibration signal compression wavelet packet transformation (WPT) discrete cosine transformation (DCT) sub-band vector quantization (SVQ)

Weighted Multi-sensor Data Level Fusion Method of Vibration Signal Based on Correlation Function

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Chinese Journal of Mechanical Engineering 2011年第5期24卷 899-904页

作者： BIN Guangfu jiang zhinong LI Xuejun DHILLON B S Diagnosis and Self-recovery Engineering Research Center Beijing University of Chemical Technology Beijing 100029 China Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment Hunan University of Science and Technology Xiangtan 411201 China Department of Mechanical Engineering University of Ottawa 161 Louis Pasteur Ottawa K1B 6N5 Canada

As the differences of sensor＇s precision and some random factors are difficult to control,the actual measurement signals are far from the target signals that affect the reliability and precision of rotating machinery fault *** traditional signal processing methods,such as classical inference and weighted averaging algorithm usually lack dynamic adaptability that is easy for trends to cause the faults to be misjudged or left *** enhance the measuring veracity and precision of vibration signal in rotary machine multi-sensor vibration signal fault diagnosis,a novel data level fusion approach is presented on the basis of correlation function analysis to fast determine the weighted value of multi-sensor vibration *** approach doesn＇t require knowing the prior information about sensors,and the weighted value of sensors can be confirmed depending on the correlation measure of real-time data tested in the data level fusion *** gives greater weighted value to the greater correlation measure of sensor signals,and vice *** approach can effectively suppress large errors and even can still fuse data in the case of sensor failures because it takes full advantage of sensor＇s own-information to determine the weighted ***,it has good performance of anti-jamming due to the correlation measures between noise and effective signals are usually *** the simulation of typical signal collected from multi-sensors,the comparative analysis of dynamic adaptability and fault tolerance between the proposed approach and traditional weighted averaging approach is ***,the rotor dynamics and integrated fault simulator is taken as an example to verify the feasibility and advantages of the proposed approach,it is shown that the multi-sensor data level fusion based on correlation function weighted approach is better than the traditional weighted average approach with respect to fusion precision and dynamic ***,the approac

关键词： vibration signal multi-sensor data level fusion correlation function weighted value

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

Compression techniques of mechanical vibration signals based on optimal sparse representations

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High Technology Letters 2012年第3期18卷 256-262页

作者： Feng Kun Qin Qiang jiang zhinong Diagnosis and Self-Recovery Engineering Research Center Beijing University of Chemical Technology Beijing 100029 P. R. China

This paper presents the result of an experimental study on the compression of mechanical vibration signals. The signals are collected from both rotating and reciprocating machineries by the accelerometers and a data acquisition （DAQ） system. Four optimal sparse representation methods for compression have been considered including the method of frames （ MOF）, best orthogonal basis （ BOB）, matching pursuit （MP） and basis pursuit （BP）. Furthermore, several indicators including compression ratio （CR）, mean square error （MSE）, energy retained （ER） and Kurtosis are taken to evaluate the performance of the above methods. Experimental results show that MP outperforms other three methods.

关键词： signal compression mechanical vibration signals sparse representation matchingpursuit (MP) basis pursuit (BP)

Timedelay based all-frequency correction method for discrete spectrum

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High Technology Letters 2011年第1期17卷 106-111页

作者：秦强 jiang zhinong He Wei Feng Kun Diagnosis and Self-recovery Engineering Research Center Beijing University of Chemical Technology Beijing 100029 P. R. China

Many spectrum correction methods have been developed, but their performance degrades significantly when they are applied to the correction of low frequency component （ LFC ）. It owns to that the model underlying the conventional approaches neglects the interference of the negative frequency in the real signal. A new approach for the correction of the LFC is proposed, which suits all kinds of symmetrical windows. It divides a signal into three sections and makes use of the first spectrum line of each section. Then this approach is modified so that it is also applicable to the correction of the high frequency component. Thus a timedelay-based all-frequency correction method is proposed. The simulation results show that this method is simple and feasible. By this method, the accurate frequency, amplitude and phase of the spectral line can be obtained whether it is close to or far from OHz.

关键词： signal analysis fault diagnosis discrete spectrum low frequency spectrum correction

A double integral method for quantitative evaluation of influence on thin-walled casing response caused by bearing uncertainties

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Chinese Journal of Aeronautics 2020年第9期33卷 2372-2381页

作者： Binbin GENG Yanfei ZUO zhinong jiang Kun FENG Chen WANG Jie WANG Key Lab of Engine Health Monitoring-Conlrol and Netw orking 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

Bearings in a gas turbine engine are the key connecting components transmitting force and motion between rotors and thin-walled flexible *** bearing stiffness and damping of squeeze film damper(SFD)nearby bearings are easily affected by many factors,such as assembly process,load condition and temperature variation,resulting in *** uncertainties may influence the response of the measuring point on the ***,it is difficult to carry out the fault diagnosis,whole machine balancing and other related *** this paper,a double integral quantitative evaluation method is proposed to simultaneously analyze the influence of two uncertain dynamic coefficients on the response amplitude and phase of casing measuring ***,the coupling influence of stiffness and damping accompanied by dramatic changes with rotational speeds are essentially *** an example,a typical engine bearing-casing system with complex dynamic characteristics is *** impact of uncertain dynamic coefficients on the unbalance response is quantitatively evaluated.

关键词： Dynamic coefficients Gas turbine engine Measuring point response Quantitative evaluation Uncertainty analysis

An adaptive morphological impulses extraction method and its application to fault diagnosis

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High Technology Letters 2010年第3期16卷 318-323页

作者： He Wei jiang zhinong Gao Jinji Wang Hui Diagnosis and Self-reeovery Engineering Research Center Beijing University of Chemical Technology Beijing 100029 P.R. China

An adaptive morphological impulses extraction method （AMIE） for bearing fault diagnosis is pro- posed. This method uses the morphological closing operation with a flat structuring element （SE） to extract impulsive features from vibration signals with strong background noise. To optimize the flat SE, firstly, a theoretical study is carried out to investigate the effects of the length of the flat SE. Then, based on the theoretical findings, an adaptive algorithm for the flat SE optimization is proposed. The AMIE method is tested by the simulated signal and bearing vibration signals. The test results show that this method is effective and robust in extracting impulsive features.

关键词： impulsive feature structuring element optimization rolling bearing fault diagnosis

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