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2019 International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2019

作者： Zhao, Haipeng Mao, Zhiwei Chen, Kun Jiang, Zhinong Beijing University of Chemical Technology Key Lab of Engine Health Monitoring-Control and Networking Ministry of Education Beijing China

ISBN: (纸本)9781728101996

Considering the diesel engine vibration signals have the characteristics of the non-stability and non-linearity due to its compact-complex structure, strong noise and especially unstable operating conditions, we proposes an novel method based on improved wavelet packet-Mel frequency and convolutional neural network (CNN) to extract features and diagnose faults of diesel engine valve. Firstly, the wavelet packet transform is applied with the purpose of decomposing vibration signal and reconstructing each wavelet packet coefficient. Secondly, an improved Mel frequency cepstrum method is used to extract features from the reconstructed vibration signals. MFC algorithm is a well-known feature extraction technique widely used for speech recognition. Then, feature matrixes are constituted to obtain more definite and comprehensive time-frequency distributed representation, of which the row represents the average Mel frequency cepstrum coefficients and the column represents the frequency bands of wavelet packet decomposition in ascending order. Finally, a deep hierarchical CNN structure constructed by convolution layers, max-pooling layers and fully-connected layers is trained using a standard backpropagation, of which the input of first layer with 256 neurons is the above 2D feature matrixes and the output of final layer with 3 neurons is the number of vibration signal states. The experimental results of the fault diagnosis for the diesel engine valves show that the proposed method has the good diagnosis performance for diesel engine valve clearance faults. © 2019 IEEE.

关键词： Diesel engines

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A fault diagnosis method for valve train of diesel engine considering incomplete feature set

A fault diagnosis method for valve train of diesel engine co...

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2019 International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2019

作者： Jiang, Zhinong Lai, Yuehua Wang, Zijia Zhang, Jinjie Beijing University of Chemical Technology Key Laboratory of Engine Health Monitoring Control and Networking Ministry of Education Beijing China

ISBN: (纸本)9781728101996

Abnormal valve clearance is a common fault of diesel engine, and early warning of abnormal valve clearance plays an important role in the condition based maintenance of diesel engine. Although information fusion technology can improve the accuracy of fault diagnosis, it cannot guarantee that the fused features can perfectly represent the required key information. For the incomplete feature set, a method combining multi-domain feature and improved support vector machine is proposed. Firstly, the extraction of multi-domain feature is carried out to deeply explore the state information of valve train contained in the original vibration signal. The statistical characteristics and waveform characteristics are extracted from time domain vibration signals, and the frequency domain feature similar to time-domain feature is extracted after the Fourier transform of the vibration signal. What's more, according to the working principle of diesel engine, the energy characteristics in angular frequency domain are extracted. Then, an improved support vector machine method based on multi-domain feature is proposed to further reduce the diagnostic errors caused by incomplete feature set. Finally, the proposed method is compared with other traditional methods about the fault diagnosis of valve train of diesel engine. The results show that the proposed method is applicable to the fault diagnosis of valve train of diesel engine with good accuracy, and the generalization ability of diagnostic model is greatly improved. © 2019 IEEE.

关键词： Failure analysis

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Digital twin model of gas turbine and its application in warning of performance fault

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Chinese Journal of Aeronautics 2023年第3期36卷 449-470页

作者： Minghui HU Ya HE Xinzhi LIN Ziyuan LU Zhinong JIANG Bo MA 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 Capital Aerospace Machinery Corporation Limited Beijing 100076China Hangli(Group)Industrial Co. LtdChengdu 611936China

The digital twin-driven performance model provides an attractive option for the warn gas-path faults of the gas ***,three technical difficulties need to be solved:(1)low modeling precision caused by individual differences between gas turbines,(2)poor solution efficiency due to excessive iterations,and(3)the false alarm and missing alarm brought by the traditional fixed threshold *** paper proposes a digital twin model-based early warning method for gas-path faults that breaks through the above obstacles from three ***,a novel performance modeling strategy is proposed to make the simulation effect close to the actual gas turbine by fusing the mechanism model and measurement ***,the idea of controlling the relative accuracy of model parameters is *** introduction of an error module to the existing model can greatly shorten the modeling *** third solution focuses on the early warning based on the digital twin model,which self-learns the alarm threshold of the warning feature of gas-path parameters using the kernel density *** proposed method is utilized to analyze actual measured data of LM2500+,and the results verify that the new-built digital model has higher accuracy and better *** comparisons show that the proposed method shows evident superiority in early warning of performance faults for gas turbines over other methods.

关键词： Gas turbine Digital twin model Gas-path fault warning Deviation degree analysis Performance simulation

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Erratum to "Computation of multi-rotor vibration phase under a single key phase measurement condition and its application in aero-engine" [Mech. Syst. Signal Process. 230 (2025) 112592] (Mechanical Systems and Signal Processing (2025) 230, (S0888327025002936), (10.1016/***.2025.112592))

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Mechanical Systems and Signal Processing 2025年 231卷

作者： Hu, Minghui Han, Baole Ge, Xiangdong Jin, Yaqiang Wang, Weimin Jiang, Zhinong State Key Laboratory of High-end Compressor and System Technology 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 Aero Engine Corporation of China Shenyang Aero-engine Institute Shenyang110042 China Qingdao Mingserve Technology Ltd. Qingdao266000 China Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education Beijing University of Chemical Technology Beijing100029 China

The publisher regrets that Fig. 21 was incorrect in the published article. The correct version of Fig. 21 should display as follows:[Figure presented] The publisher would like to apologize for any inconvenience caused...

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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

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A novel none once per revolution blade tip timing based blade vibration parameters identification method

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Chinese Journal of Aeronautics 2020年第7期33卷 1953-1968页

作者： Weimin WANG Xulong ZHANG Dongfang HU Dengpeng ZHANG Paul ALLAIRE Key Lab of Engine Health Monitoring-Control and Networking Beijing University of Chemical TechnologyBeijing 100029China Beijing Key Laboratory of Health Monitoring Control and Fault Self-recovery for High-end Machinery Beijing University of Chemical TechnologyBeijing 100029China Rotor Bearing Solutions International LLCCharlottesvilleVA 22911USA

The vibration caused blade High Cycle Fatigue(HCF)is seriously affects the safety operation of turbomachinery especially for ***,it is crucial important to identify the blade vibration parameters and then evaluate the dynamic stress *** Tip Timing(BTT)method is one of the promising method to solve these ***,it need a high resolution Once Per Revolution(OPR)signal which is difficult to get for the ***,a Coupled Vibration Analysis(CVA)method for identifying blade vibration parameters by a none OPR BTT is *** method assumes that every real blade has its own vibration performance at a given ***,it can take any blade as the reference blade,and the other blades using the reference blade as the OPR for vibration displacement calculating and further parameter *** proposed method is validated by numerical ***,experimental studies are carried out on a straight blade and a twisted three dimensional blade test rig as well as a large industrial axial compressor *** results show that the proposed method can accurately identify the blade synchronous vibration parameters and quantitatively evaluate the mistuning in bladed disks,which lays a foundation for the reliability improvement of aero-engine.

关键词： Blade tip timing Blade vibration Parameter identification Turbomachinery blades Vibration analysis

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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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Research on full-period acquisition method for diesel engine based on self-adaptive correlation analysis

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High Technology Letters 2020年第3期26卷 270-277页

作者： Zhao Haipeng Mao Zhiwei Zhang Jinjie Lai Yuehua Wang Zijia Jiang Zhinong Key Laboratory of Engine Health Monitoring-Control and Networking of Ministry of Education Beijing University of Chemical TechnologyBeijing 100029P.R.China Beijing Key Laboratory of High-End Mechanical Equipment Health Monitoring and Self-Recovery Beijing University of Chemical TechnologyBeijing 100029P.R.China

Full-period signal acquisition of vibration signal plays a vital role in the health monitoring and fault diagnosis of modern industrial equipment group. The traditional full-period signal acquisition methods usually need not only a reference signal generated from special key phase device but also a reserved position, which is only suitable for a small number of particular equipment. A novel full-period signal acquisition method without key phase is proposed to construct the time-frequency method with strong energy concentration called the synchrosqueezing generalized S-Transform(SGST), combining together the Teager energy operator(TEO) and self-adaptive correlation analysis(SACA) based on the vibration signals of both gear and cylinder head. Actual vibration signals of diesel engine are employed to verify the feasibility and effectiveness of the proposed method by comparing with traditional method with special key phase device. By comparisons, the results show that full-period signal acquisition method without key phase has approximate accuracy for diesel engine under different working conditions.

关键词： diesel engine key phase full-period acquisition vibration signal

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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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Fault diagnosis for reciprocating compressor based on GLCM and HOG features fusion of time-frequency image

Fault diagnosis for reciprocating compressor based on GLCM a...

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2019 International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2019

作者： Li, Hui Zhao, Haipeng Wang, Zijia Mao, Zhiwei Beijing University of Chemical Technology Key Lab of Engine Health Monitoring-Control and Networking Ministry of Education Beijing China Beijing University of Chemical Technology Beijing Key Laboratory of Health Monitoring Control and Fault Self-recovery for High-end Machinery Beijing China

ISBN: (纸本)9781728101996

In this paper, the gray level co-occurrence matrix (GLCM) and histogram of oriented gradient (HOG) features fusion of time-frequency image are introduced into the reciprocating compressor fault diagnosis. Firstly, vibration signals are acquired from the reciprocating compressor in different states of head tile and the wavelet transform distributions of vibration signals were displayed in time-frequency images. Secondly, GLCM and HOG methods are used to extract features from time-frequency images, then GLCM feature and HOG feature are fused and input into support vector machine for recognition and classification. By this way, the fault diagnosis of time series signals of reciprocating compressor is transferred to the classification of time-frequency images. The results show that can accurately realize diagnosis of small-head wear fault of reciprocating compressor. © 2019 IEEE.

关键词： Failure analysis

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